/*
* Copyright (C) 2017 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#define LOG_TAG "VelocityTracker_test"
#include <array>
#include <chrono>
#include <math.h>
#include <android-base/stringprintf.h>
#include <gtest/gtest.h>
#include <input/VelocityTracker.h>
using namespace std::chrono_literals;
using android::base::StringPrintf;
namespace android {
constexpr int32_t DISPLAY_ID = ADISPLAY_ID_DEFAULT; // default display id
constexpr int32_t DEFAULT_POINTER_ID = 0; // pointer ID used for manually defined tests
// velocity must be in the range (1-tol)*EV <= velocity <= (1+tol)*EV
// here EV = expected value, tol = VELOCITY_TOLERANCE
constexpr float VELOCITY_TOLERANCE = 0.2;
// estimate coefficients must be within 0.001% of the target value
constexpr float COEFFICIENT_TOLERANCE = 0.00001;
// --- VelocityTrackerTest ---
class VelocityTrackerTest : public testing::Test { };
/*
* Similar to EXPECT_NEAR, but ensures that the difference between the two float values
* is at most a certain fraction of the target value.
* If fraction is zero, require exact match.
*/
static void EXPECT_NEAR_BY_FRACTION(float actual, float target, float fraction) {
float tolerance = fabsf(target * fraction);
if (target == 0 && fraction != 0) {
// If target is zero, this would force actual == target, which is too harsh.
// Relax this requirement a little. The value is determined empirically from the
// coefficients computed by the quadratic least squares algorithms.
tolerance = 1E-6;
}
EXPECT_NEAR(actual, target, tolerance);
}
static void checkVelocity(float Vactual, float Vtarget) {
EXPECT_NEAR_BY_FRACTION(Vactual, Vtarget, VELOCITY_TOLERANCE);
}
static void checkCoefficient(float actual, float target) {
EXPECT_NEAR_BY_FRACTION(actual, target, COEFFICIENT_TOLERANCE);
}
struct Position {
float x;
float y;
/**
* If both values are NAN, then this is considered to be an empty entry (no pointer data).
* If only one of the values is NAN, this is still a valid entry,
* because we may only care about a single axis.
*/
bool isValid() const {
return !(isnan(x) && isnan(y));
}
};
struct MotionEventEntry {
std::chrono::nanoseconds eventTime;
std::vector<Position> positions;
};
static BitSet32 getValidPointers(const std::vector<Position>& positions) {
BitSet32 pointers;
for (size_t i = 0; i < positions.size(); i++) {
if (positions[i].isValid()) {
pointers.markBit(i);
}
}
return pointers;
}
static uint32_t getChangingPointerId(BitSet32 pointers, BitSet32 otherPointers) {
BitSet32 difference(pointers.value ^ otherPointers.value);
uint32_t pointerId = difference.clearFirstMarkedBit();
EXPECT_EQ(0U, difference.value) << "Only 1 pointer can enter or leave at a time";
return pointerId;
}
static int32_t resolveAction(const std::vector<Position>& lastPositions,
const std::vector<Position>& currentPositions,
const std::vector<Position>& nextPositions) {
BitSet32 pointers = getValidPointers(currentPositions);
const uint32_t pointerCount = pointers.count();
BitSet32 lastPointers = getValidPointers(lastPositions);
const uint32_t lastPointerCount = lastPointers.count();
if (lastPointerCount < pointerCount) {
// A new pointer is down
uint32_t pointerId = getChangingPointerId(pointers, lastPointers);
return AMOTION_EVENT_ACTION_POINTER_DOWN |
(pointerId << AMOTION_EVENT_ACTION_POINTER_INDEX_SHIFT);
}
BitSet32 nextPointers = getValidPointers(nextPositions);
const uint32_t nextPointerCount = nextPointers.count();
if (pointerCount > nextPointerCount) {
// An existing pointer is leaving
uint32_t pointerId = getChangingPointerId(pointers, nextPointers);
return AMOTION_EVENT_ACTION_POINTER_UP |
(pointerId << AMOTION_EVENT_ACTION_POINTER_INDEX_SHIFT);
}
return AMOTION_EVENT_ACTION_MOVE;
}
static std::vector<MotionEvent> createMotionEventStream(
const std::vector<MotionEventEntry>& motions) {
if (motions.empty()) {
ADD_FAILURE() << "Need at least 1 sample to create a MotionEvent. Received empty vector.";
}
std::vector<MotionEvent> events;
for (size_t i = 0; i < motions.size(); i++) {
const MotionEventEntry& entry = motions[i];
BitSet32 pointers = getValidPointers(entry.positions);
const uint32_t pointerCount = pointers.count();
int32_t action;
if (i == 0) {
action = AMOTION_EVENT_ACTION_DOWN;
EXPECT_EQ(1U, pointerCount) << "First event should only have 1 pointer";
} else if (i == motions.size() - 1) {
EXPECT_EQ(1U, pointerCount) << "Last event should only have 1 pointer";
action = AMOTION_EVENT_ACTION_UP;
} else {
const MotionEventEntry& previousEntry = motions[i-1];
const MotionEventEntry& nextEntry = motions[i+1];
action = resolveAction(previousEntry.positions, entry.positions, nextEntry.positions);
}
PointerCoords coords[pointerCount];
PointerProperties properties[pointerCount];
uint32_t pointerIndex = 0;
while(!pointers.isEmpty()) {
uint32_t pointerId = pointers.clearFirstMarkedBit();
coords[pointerIndex].clear();
// We are treating column positions as pointerId
EXPECT_TRUE(entry.positions[pointerId].isValid()) <<
"The entry at pointerId must be valid";
coords[pointerIndex].setAxisValue(AMOTION_EVENT_AXIS_X, entry.positions[pointerId].x);
coords[pointerIndex].setAxisValue(AMOTION_EVENT_AXIS_Y, entry.positions[pointerId].y);
properties[pointerIndex].id = pointerId;
properties[pointerIndex].toolType = AMOTION_EVENT_TOOL_TYPE_FINGER;
pointerIndex++;
}
EXPECT_EQ(pointerIndex, pointerCount);
MotionEvent event;
event.initialize(0 /*deviceId*/, AINPUT_SOURCE_TOUCHSCREEN, DISPLAY_ID,
action, 0 /*actionButton*/, 0 /*flags*/,
AMOTION_EVENT_EDGE_FLAG_NONE, AMETA_NONE, 0 /*buttonState*/,
MotionClassification::NONE,
0 /*xOffset*/, 0 /*yOffset*/, 0 /*xPrecision*/, 0 /*yPrecision*/,
0 /*downTime*/, entry.eventTime.count(), pointerCount, properties, coords);
events.emplace_back(event);
}
return events;
}
static void computeAndCheckVelocity(const char* strategy,
const std::vector<MotionEventEntry>& motions, int32_t axis, float targetVelocity) {
VelocityTracker vt(strategy);
float Vx, Vy;
std::vector<MotionEvent> events = createMotionEventStream(motions);
for (MotionEvent event : events) {
vt.addMovement(&event);
}
vt.getVelocity(DEFAULT_POINTER_ID, &Vx, &Vy);
switch (axis) {
case AMOTION_EVENT_AXIS_X:
checkVelocity(Vx, targetVelocity);
break;
case AMOTION_EVENT_AXIS_Y:
checkVelocity(Vy, targetVelocity);
break;
default:
FAIL() << "Axis must be either AMOTION_EVENT_AXIS_X or AMOTION_EVENT_AXIS_Y";
}
}
static void computeAndCheckQuadraticEstimate(const std::vector<MotionEventEntry>& motions,
const std::array<float, 3>& coefficients) {
VelocityTracker vt("lsq2");
std::vector<MotionEvent> events = createMotionEventStream(motions);
for (MotionEvent event : events) {
vt.addMovement(&event);
}
VelocityTracker::Estimator estimator;
EXPECT_TRUE(vt.getEstimator(0, &estimator));
for (size_t i = 0; i< coefficients.size(); i++) {
checkCoefficient(estimator.xCoeff[i], coefficients[i]);
checkCoefficient(estimator.yCoeff[i], coefficients[i]);
}
}
/*
* ================== VelocityTracker tests generated manually =====================================
*/
TEST_F(VelocityTrackerTest, ThreePointsPositiveVelocityTest) {
// Same coordinate is reported 2 times in a row
// It is difficult to determine the correct answer here, but at least the direction
// of the reported velocity should be positive.
std::vector<MotionEventEntry> motions = {
{0ms, {{ 273, NAN}}},
{12585us, {{293, NAN}}},
{14730us, {{293, NAN}}},
{14730us, {{293, NAN}}}, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 1600);
}
TEST_F(VelocityTrackerTest, ThreePointsZeroVelocityTest) {
// Same coordinate is reported 3 times in a row
std::vector<MotionEventEntry> motions = {
{ 0ms, {{293, NAN}} },
{ 6132us, {{293, NAN}} },
{ 11283us, {{293, NAN}} },
{ 11283us, {{293, NAN}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 0);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 0);
}
TEST_F(VelocityTrackerTest, ThreePointsLinearVelocityTest) {
// Fixed velocity at 5 points per 10 milliseconds
std::vector<MotionEventEntry> motions = {
{ 0ms, {{0, NAN}} },
{ 10ms, {{5, NAN}} },
{ 20ms, {{10, NAN}} },
{ 20ms, {{10, NAN}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 500);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 500);
}
/**
* ================== VelocityTracker tests generated by recording real events =====================
*
* To add a test, record the input coordinates and event times to all calls
* to void VelocityTracker::addMovement(const MotionEvent* event).
* Also record all calls to VelocityTracker::clear().
* Finally, record the output of VelocityTracker::getVelocity(...)
* This will give you the necessary data to create a new test.
*
* Another good way to generate this data is to use 'dumpsys input' just after the event has
* occurred.
*/
// --------------- Recorded by hand on swordfish ---------------------------------------------------
TEST_F(VelocityTrackerTest, SwordfishFlingDown) {
// Recording of a fling on Swordfish that could cause a fling in the wrong direction
std::vector<MotionEventEntry> motions = {
{ 0ms, {{271, 96}} },
{ 16071042ns, {{269.786346, 106.922775}} },
{ 35648403ns, {{267.983063, 156.660034}} },
{ 52313925ns, {{262.638397, 220.339081}} },
{ 68976522ns, {{266.138824, 331.581116}} },
{ 85639375ns, {{274.79245, 428.113159}} },
{ 96948871ns, {{274.79245, 428.113159}} },
{ 96948871ns, {{274.79245, 428.113159}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 623.577637);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 5970.7309);
}
// --------------- Recorded by hand on sailfish, generated by a script -----------------------------
// For some of these tests, the X-direction velocity checking has been removed, because the lsq2
// and the impulse VelocityTrackerStrategies did not agree within 20%.
// Since the flings were recorded in the Y-direction, the intentional user action should only
// be relevant for the Y axis.
// There have been also cases where lsq2 and impulse disagreed more than 20% in the Y-direction.
// Those recordings have been discarded because we didn't feel one strategy's interpretation was
// more correct than another's but didn't want to increase the tolerance for the entire test suite.
//
// There are 18 tests total below: 9 in the positive Y direction and 9 in the opposite.
// The recordings were loosely binned into 3 categories - slow, faster, and fast, which roughly
// characterizes the velocity of the finger motion.
// These can be treated approximately as:
// slow - less than 1 page gets scrolled
// faster - more than 1 page gets scrolled, but less than 3
// fast - entire list is scrolled (fling is done as hard as possible)
TEST_F(VelocityTrackerTest, SailfishFlingUpSlow1) {
// Sailfish - fling up - slow - 1
std::vector<MotionEventEntry> motions = {
{ 235089067457000ns, {{528.00, 983.00}} },
{ 235089084684000ns, {{527.00, 981.00}} },
{ 235089093349000ns, {{527.00, 977.00}} },
{ 235089095677625ns, {{527.00, 975.93}} },
{ 235089101859000ns, {{527.00, 970.00}} },
{ 235089110378000ns, {{528.00, 960.00}} },
{ 235089112497111ns, {{528.25, 957.51}} },
{ 235089118760000ns, {{531.00, 946.00}} },
{ 235089126686000ns, {{535.00, 931.00}} },
{ 235089129316820ns, {{536.33, 926.02}} },
{ 235089135199000ns, {{540.00, 914.00}} },
{ 235089144297000ns, {{546.00, 896.00}} },
{ 235089146136443ns, {{547.21, 892.36}} },
{ 235089152923000ns, {{553.00, 877.00}} },
{ 235089160784000ns, {{559.00, 851.00}} },
{ 235089162955851ns, {{560.66, 843.82}} },
{ 235089162955851ns, {{560.66, 843.82}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 872.794617);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 951.698181);
computeAndCheckVelocity("impulse",motions, AMOTION_EVENT_AXIS_Y, -3604.819336);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -3044.966064);
}
TEST_F(VelocityTrackerTest, SailfishFlingUpSlow2) {
// Sailfish - fling up - slow - 2
std::vector<MotionEventEntry> motions = {
{ 235110560704000ns, {{522.00, 1107.00}} },
{ 235110575764000ns, {{522.00, 1107.00}} },
{ 235110584385000ns, {{522.00, 1107.00}} },
{ 235110588421179ns, {{521.52, 1106.52}} },
{ 235110592830000ns, {{521.00, 1106.00}} },
{ 235110601385000ns, {{520.00, 1104.00}} },
{ 235110605088160ns, {{519.14, 1102.27}} },
{ 235110609952000ns, {{518.00, 1100.00}} },
{ 235110618353000ns, {{517.00, 1093.00}} },
{ 235110621755146ns, {{516.60, 1090.17}} },
{ 235110627010000ns, {{517.00, 1081.00}} },
{ 235110634785000ns, {{518.00, 1063.00}} },
{ 235110638422450ns, {{518.87, 1052.58}} },
{ 235110643161000ns, {{520.00, 1039.00}} },
{ 235110651767000ns, {{524.00, 1011.00}} },
{ 235110655089581ns, {{525.54, 1000.19}} },
{ 235110660368000ns, {{530.00, 980.00}} },
{ 235110660368000ns, {{530.00, 980.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -4096.583008);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -3455.094238);
}
TEST_F(VelocityTrackerTest, SailfishFlingUpSlow3) {
// Sailfish - fling up - slow - 3
std::vector<MotionEventEntry> motions = {
{ 792536237000ns, {{580.00, 1317.00}} },
{ 792541538987ns, {{580.63, 1311.94}} },
{ 792544613000ns, {{581.00, 1309.00}} },
{ 792552301000ns, {{583.00, 1295.00}} },
{ 792558362309ns, {{585.13, 1282.92}} },
{ 792560828000ns, {{586.00, 1278.00}} },
{ 792569446000ns, {{589.00, 1256.00}} },
{ 792575185095ns, {{591.54, 1241.41}} },
{ 792578491000ns, {{593.00, 1233.00}} },
{ 792587044000ns, {{597.00, 1211.00}} },
{ 792592008172ns, {{600.28, 1195.92}} },
{ 792594616000ns, {{602.00, 1188.00}} },
{ 792603129000ns, {{607.00, 1167.00}} },
{ 792608831290ns, {{609.48, 1155.83}} },
{ 792612321000ns, {{611.00, 1149.00}} },
{ 792620768000ns, {{615.00, 1131.00}} },
{ 792625653873ns, {{617.32, 1121.73}} },
{ 792629200000ns, {{619.00, 1115.00}} },
{ 792629200000ns, {{619.00, 1115.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 574.33429);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 617.40564);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -2361.982666);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -2500.055664);
}
TEST_F(VelocityTrackerTest, SailfishFlingUpFaster1) {
// Sailfish - fling up - faster - 1
std::vector<MotionEventEntry> motions = {
{ 235160420675000ns, {{610.00, 1042.00}} },
{ 235160428220000ns, {{609.00, 1026.00}} },
{ 235160436544000ns, {{609.00, 1024.00}} },
{ 235160441852394ns, {{609.64, 1020.82}} },
{ 235160444878000ns, {{610.00, 1019.00}} },
{ 235160452673000ns, {{613.00, 1006.00}} },
{ 235160458519743ns, {{617.18, 992.06}} },
{ 235160461061000ns, {{619.00, 986.00}} },
{ 235160469798000ns, {{627.00, 960.00}} },
{ 235160475186713ns, {{632.22, 943.02}} },
{ 235160478051000ns, {{635.00, 934.00}} },
{ 235160486489000ns, {{644.00, 906.00}} },
{ 235160491853697ns, {{649.56, 890.56}} },
{ 235160495177000ns, {{653.00, 881.00}} },
{ 235160504148000ns, {{662.00, 858.00}} },
{ 235160509231495ns, {{666.81, 845.37}} },
{ 235160512603000ns, {{670.00, 837.00}} },
{ 235160520366000ns, {{679.00, 814.00}} },
{ 235160520366000ns, {{679.00, 814.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 1274.141724);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 1438.53186);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -3001.4348);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -3695.859619);
}
TEST_F(VelocityTrackerTest, SailfishFlingUpFaster2) {
// Sailfish - fling up - faster - 2
std::vector<MotionEventEntry> motions = {
{ 847153808000ns, {{576.00, 1264.00}} },
{ 847171174000ns, {{576.00, 1262.00}} },
{ 847179640000ns, {{576.00, 1257.00}} },
{ 847185187540ns, {{577.41, 1249.22}} },
{ 847187487000ns, {{578.00, 1246.00}} },
{ 847195710000ns, {{581.00, 1227.00}} },
{ 847202027059ns, {{583.93, 1209.40}} },
{ 847204324000ns, {{585.00, 1203.00}} },
{ 847212672000ns, {{590.00, 1176.00}} },
{ 847218861395ns, {{594.36, 1157.11}} },
{ 847221190000ns, {{596.00, 1150.00}} },
{ 847230484000ns, {{602.00, 1124.00}} },
{ 847235701400ns, {{607.56, 1103.83}} },
{ 847237986000ns, {{610.00, 1095.00}} },
{ 847237986000ns, {{610.00, 1095.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -4280.07959);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -4241.004395);
}
TEST_F(VelocityTrackerTest, SailfishFlingUpFaster3) {
// Sailfish - fling up - faster - 3
std::vector<MotionEventEntry> motions = {
{ 235200532789000ns, {{507.00, 1084.00}} },
{ 235200549221000ns, {{507.00, 1083.00}} },
{ 235200557841000ns, {{507.00, 1081.00}} },
{ 235200558051189ns, {{507.00, 1080.95}} },
{ 235200566314000ns, {{507.00, 1078.00}} },
{ 235200574876586ns, {{508.97, 1070.12}} },
{ 235200575006000ns, {{509.00, 1070.00}} },
{ 235200582900000ns, {{514.00, 1054.00}} },
{ 235200591276000ns, {{525.00, 1023.00}} },
{ 235200591701829ns, {{525.56, 1021.42}} },
{ 235200600064000ns, {{542.00, 976.00}} },
{ 235200608519000ns, {{563.00, 911.00}} },
{ 235200608527086ns, {{563.02, 910.94}} },
{ 235200616933000ns, {{590.00, 844.00}} },
{ 235200616933000ns, {{590.00, 844.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -8715.686523);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -7639.026367);
}
TEST_F(VelocityTrackerTest, SailfishFlingUpFast1) {
// Sailfish - fling up - fast - 1
std::vector<MotionEventEntry> motions = {
{ 920922149000ns, {{561.00, 1412.00}} },
{ 920930185000ns, {{559.00, 1377.00}} },
{ 920930262463ns, {{558.98, 1376.66}} },
{ 920938547000ns, {{559.00, 1371.00}} },
{ 920947096857ns, {{562.91, 1342.68}} },
{ 920947302000ns, {{563.00, 1342.00}} },
{ 920955502000ns, {{577.00, 1272.00}} },
{ 920963931021ns, {{596.87, 1190.54}} },
{ 920963987000ns, {{597.00, 1190.00}} },
{ 920972530000ns, {{631.00, 1093.00}} },
{ 920980765511ns, {{671.31, 994.68}} },
{ 920980906000ns, {{672.00, 993.00}} },
{ 920989261000ns, {{715.00, 903.00}} },
{ 920989261000ns, {{715.00, 903.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 5670.329102);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 5991.866699);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -13021.101562);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -15093.995117);
}
TEST_F(VelocityTrackerTest, SailfishFlingUpFast2) {
// Sailfish - fling up - fast - 2
std::vector<MotionEventEntry> motions = {
{ 235247153233000ns, {{518.00, 1168.00}} },
{ 235247170452000ns, {{517.00, 1167.00}} },
{ 235247178908000ns, {{515.00, 1159.00}} },
{ 235247179556213ns, {{514.85, 1158.39}} },
{ 235247186821000ns, {{515.00, 1125.00}} },
{ 235247195265000ns, {{521.00, 1051.00}} },
{ 235247196389476ns, {{521.80, 1041.15}} },
{ 235247203649000ns, {{538.00, 932.00}} },
{ 235247212253000ns, {{571.00, 794.00}} },
{ 235247213222491ns, {{574.72, 778.45}} },
{ 235247220736000ns, {{620.00, 641.00}} },
{ 235247220736000ns, {{620.00, 641.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -20286.958984);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -20494.587891);
}
TEST_F(VelocityTrackerTest, SailfishFlingUpFast3) {
// Sailfish - fling up - fast - 3
std::vector<MotionEventEntry> motions = {
{ 235302568736000ns, {{529.00, 1167.00}} },
{ 235302576644000ns, {{523.00, 1140.00}} },
{ 235302579395063ns, {{520.91, 1130.61}} },
{ 235302585140000ns, {{522.00, 1130.00}} },
{ 235302593615000ns, {{527.00, 1065.00}} },
{ 235302596207444ns, {{528.53, 1045.12}} },
{ 235302602102000ns, {{559.00, 872.00}} },
{ 235302610545000ns, {{652.00, 605.00}} },
{ 235302613019881ns, {{679.26, 526.73}} },
{ 235302613019881ns, {{679.26, 526.73}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -39295.941406);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -36461.421875);
}
TEST_F(VelocityTrackerTest, SailfishFlingDownSlow1) {
// Sailfish - fling down - slow - 1
std::vector<MotionEventEntry> motions = {
{ 235655749552755ns, {{582.00, 432.49}} },
{ 235655750638000ns, {{582.00, 433.00}} },
{ 235655758865000ns, {{582.00, 440.00}} },
{ 235655766221523ns, {{581.16, 448.43}} },
{ 235655767594000ns, {{581.00, 450.00}} },
{ 235655776044000ns, {{580.00, 462.00}} },
{ 235655782890696ns, {{579.18, 474.35}} },
{ 235655784360000ns, {{579.00, 477.00}} },
{ 235655792795000ns, {{578.00, 496.00}} },
{ 235655799559531ns, {{576.27, 515.04}} },
{ 235655800612000ns, {{576.00, 518.00}} },
{ 235655809535000ns, {{574.00, 542.00}} },
{ 235655816988015ns, {{572.17, 564.86}} },
{ 235655817685000ns, {{572.00, 567.00}} },
{ 235655825981000ns, {{569.00, 595.00}} },
{ 235655833808653ns, {{566.26, 620.60}} },
{ 235655834541000ns, {{566.00, 623.00}} },
{ 235655842893000ns, {{563.00, 649.00}} },
{ 235655842893000ns, {{563.00, 649.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -419.749695);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -398.303894);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 3309.016357);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 3969.099854);
}
TEST_F(VelocityTrackerTest, SailfishFlingDownSlow2) {
// Sailfish - fling down - slow - 2
std::vector<MotionEventEntry> motions = {
{ 235671152083370ns, {{485.24, 558.28}} },
{ 235671154126000ns, {{485.00, 559.00}} },
{ 235671162497000ns, {{484.00, 566.00}} },
{ 235671168750511ns, {{483.27, 573.29}} },
{ 235671171071000ns, {{483.00, 576.00}} },
{ 235671179390000ns, {{482.00, 588.00}} },
{ 235671185417210ns, {{481.31, 598.98}} },
{ 235671188173000ns, {{481.00, 604.00}} },
{ 235671196371000ns, {{480.00, 624.00}} },
{ 235671202084196ns, {{479.27, 639.98}} },
{ 235671204235000ns, {{479.00, 646.00}} },
{ 235671212554000ns, {{478.00, 673.00}} },
{ 235671219471011ns, {{476.39, 697.12}} },
{ 235671221159000ns, {{476.00, 703.00}} },
{ 235671229592000ns, {{474.00, 734.00}} },
{ 235671236281462ns, {{472.43, 758.38}} },
{ 235671238098000ns, {{472.00, 765.00}} },
{ 235671246532000ns, {{470.00, 799.00}} },
{ 235671246532000ns, {{470.00, 799.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -262.80426);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -243.665344);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 4215.682129);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 4587.986816);
}
TEST_F(VelocityTrackerTest, SailfishFlingDownSlow3) {
// Sailfish - fling down - slow - 3
std::vector<MotionEventEntry> motions = {
{ 170983201000ns, {{557.00, 533.00}} },
{ 171000668000ns, {{556.00, 534.00}} },
{ 171007359750ns, {{554.73, 535.27}} },
{ 171011197000ns, {{554.00, 536.00}} },
{ 171017660000ns, {{552.00, 540.00}} },
{ 171024201831ns, {{549.97, 544.73}} },
{ 171027333000ns, {{549.00, 547.00}} },
{ 171034603000ns, {{545.00, 557.00}} },
{ 171041043371ns, {{541.98, 567.55}} },
{ 171043147000ns, {{541.00, 571.00}} },
{ 171051052000ns, {{536.00, 586.00}} },
{ 171051052000ns, {{536.00, 586.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -723.413513);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -651.038452);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 2091.502441);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 1934.517456);
}
TEST_F(VelocityTrackerTest, SailfishFlingDownFaster1) {
// Sailfish - fling down - faster - 1
std::vector<MotionEventEntry> motions = {
{ 235695280333000ns, {{558.00, 451.00}} },
{ 235695283971237ns, {{558.43, 454.45}} },
{ 235695289038000ns, {{559.00, 462.00}} },
{ 235695297388000ns, {{561.00, 478.00}} },
{ 235695300638465ns, {{561.83, 486.25}} },
{ 235695305265000ns, {{563.00, 498.00}} },
{ 235695313591000ns, {{564.00, 521.00}} },
{ 235695317305492ns, {{564.43, 532.68}} },
{ 235695322181000ns, {{565.00, 548.00}} },
{ 235695330709000ns, {{565.00, 577.00}} },
{ 235695333972227ns, {{565.00, 588.10}} },
{ 235695339250000ns, {{565.00, 609.00}} },
{ 235695347839000ns, {{565.00, 642.00}} },
{ 235695351313257ns, {{565.00, 656.18}} },
{ 235695356412000ns, {{565.00, 677.00}} },
{ 235695364899000ns, {{563.00, 710.00}} },
{ 235695368118682ns, {{562.24, 722.52}} },
{ 235695373403000ns, {{564.00, 744.00}} },
{ 235695373403000ns, {{564.00, 744.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 4254.639648);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 4698.415039);
}
TEST_F(VelocityTrackerTest, SailfishFlingDownFaster2) {
// Sailfish - fling down - faster - 2
std::vector<MotionEventEntry> motions = {
{ 235709624766000ns, {{535.00, 579.00}} },
{ 235709642256000ns, {{534.00, 580.00}} },
{ 235709643350278ns, {{533.94, 580.06}} },
{ 235709650760000ns, {{532.00, 584.00}} },
{ 235709658615000ns, {{530.00, 593.00}} },
{ 235709660170495ns, {{529.60, 594.78}} },
{ 235709667095000ns, {{527.00, 606.00}} },
{ 235709675616000ns, {{524.00, 628.00}} },
{ 235709676983261ns, {{523.52, 631.53}} },
{ 235709684289000ns, {{521.00, 652.00}} },
{ 235709692763000ns, {{518.00, 682.00}} },
{ 235709693804993ns, {{517.63, 685.69}} },
{ 235709701438000ns, {{515.00, 709.00}} },
{ 235709709830000ns, {{512.00, 739.00}} },
{ 235709710626776ns, {{511.72, 741.85}} },
{ 235709710626776ns, {{511.72, 741.85}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -430.440247);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -447.600311);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 3953.859375);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 4316.155273);
}
TEST_F(VelocityTrackerTest, SailfishFlingDownFaster3) {
// Sailfish - fling down - faster - 3
std::vector<MotionEventEntry> motions = {
{ 235727628927000ns, {{540.00, 440.00}} },
{ 235727636810000ns, {{537.00, 454.00}} },
{ 235727646176000ns, {{536.00, 454.00}} },
{ 235727653586628ns, {{535.12, 456.65}} },
{ 235727654557000ns, {{535.00, 457.00}} },
{ 235727663024000ns, {{534.00, 465.00}} },
{ 235727670410103ns, {{533.04, 479.45}} },
{ 235727670691000ns, {{533.00, 480.00}} },
{ 235727679255000ns, {{531.00, 501.00}} },
{ 235727687233704ns, {{529.09, 526.73}} },
{ 235727687628000ns, {{529.00, 528.00}} },
{ 235727696113000ns, {{526.00, 558.00}} },
{ 235727704057546ns, {{523.18, 588.98}} },
{ 235727704576000ns, {{523.00, 591.00}} },
{ 235727713099000ns, {{520.00, 626.00}} },
{ 235727720880776ns, {{516.33, 655.36}} },
{ 235727721580000ns, {{516.00, 658.00}} },
{ 235727721580000ns, {{516.00, 658.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 4484.617676);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 4927.92627);
}
TEST_F(VelocityTrackerTest, SailfishFlingDownFast1) {
// Sailfish - fling down - fast - 1
std::vector<MotionEventEntry> motions = {
{ 235762352849000ns, {{467.00, 286.00}} },
{ 235762360250000ns, {{443.00, 344.00}} },
{ 235762362787412ns, {{434.77, 363.89}} },
{ 235762368807000ns, {{438.00, 359.00}} },
{ 235762377220000ns, {{425.00, 423.00}} },
{ 235762379608561ns, {{421.31, 441.17}} },
{ 235762385698000ns, {{412.00, 528.00}} },
{ 235762394133000ns, {{406.00, 648.00}} },
{ 235762396429369ns, {{404.37, 680.67}} },
{ 235762396429369ns, {{404.37, 680.67}} }, //ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 14227.0224);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 16064.685547);
}
TEST_F(VelocityTrackerTest, SailfishFlingDownFast2) {
// Sailfish - fling down - fast - 2
std::vector<MotionEventEntry> motions = {
{ 235772487188000ns, {{576.00, 204.00}} },
{ 235772495159000ns, {{553.00, 236.00}} },
{ 235772503568000ns, {{551.00, 240.00}} },
{ 235772508192247ns, {{545.55, 254.17}} },
{ 235772512051000ns, {{541.00, 266.00}} },
{ 235772520794000ns, {{520.00, 337.00}} },
{ 235772525015263ns, {{508.92, 394.43}} },
{ 235772529174000ns, {{498.00, 451.00}} },
{ 235772537635000ns, {{484.00, 589.00}} },
{ 235772537635000ns, {{484.00, 589.00}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 18660.048828);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 16918.439453);
}
TEST_F(VelocityTrackerTest, SailfishFlingDownFast3) {
// Sailfish - fling down - fast - 3
std::vector<MotionEventEntry> motions = {
{ 507650295000ns, {{628.00, 233.00}} },
{ 507658234000ns, {{605.00, 269.00}} },
{ 507666784000ns, {{601.00, 274.00}} },
{ 507669660483ns, {{599.65, 275.68}} },
{ 507675427000ns, {{582.00, 308.00}} },
{ 507683740000ns, {{541.00, 404.00}} },
{ 507686506238ns, {{527.36, 435.95}} },
{ 507692220000ns, {{487.00, 581.00}} },
{ 507700707000ns, {{454.00, 792.00}} },
{ 507703352649ns, {{443.71, 857.77}} },
{ 507703352649ns, {{443.71, 857.77}} }, // ACTION_UP
};
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -4111.8173);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -6388.48877);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 29765.908203);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 28354.796875);
}
/**
* ================== Multiple pointers ============================================================
*
* Three fingers quickly tap the screen. Since this is a tap, the velocities should be zero.
* If the events with POINTER_UP or POINTER_DOWN are not handled correctly (these should not be
* part of the fitted data), this can cause large velocity values to be reported instead.
*/
TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_ThreeFingerTap) {
std::vector<MotionEventEntry> motions = {
{ 0us, {{1063, 1128}, {NAN, NAN}, {NAN, NAN}} },
{ 10800us, {{1063, 1128}, {682, 1318}, {NAN, NAN}} }, // POINTER_DOWN
{ 10800us, {{1063, 1128}, {682, 1318}, {397, 1747}} }, // POINTER_DOWN
{ 267300us, {{1063, 1128}, {682, 1318}, {397, 1747}} }, // POINTER_UP
{ 267300us, {{1063, 1128}, {NAN, NAN}, {397, 1747}} }, // POINTER_UP
{ 272700us, {{1063, 1128}, {NAN, NAN}, {NAN, NAN}} },
};
// Velocity should actually be zero, but we expect 0.016 here instead.
// This is close enough to zero, and is likely caused by division by a very small number.
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -0.016);
computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -0.016);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 0);
computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 0);
}
/**
* ================== Tests for least squares fitting ==============================================
*
* Special care must be taken when constructing tests for LeastSquaresVelocityTrackerStrategy
* getEstimator function. In particular:
* - inside the function, time gets converted from nanoseconds to seconds
* before being used in the fit.
* - any values that are older than 100 ms are being discarded.
* - the newest time gets subtracted from all of the other times before being used in the fit.
* So these tests have to be designed with those limitations in mind.
*
* General approach for the tests below:
* We only used timestamps in milliseconds, 0 ms, 1 ms, and 2 ms, to be sure that
* we are well within the HORIZON range.
* When specifying the expected values of the coefficients, we treat the x values as if
* they were in ms. Then, to adjust for the time units, the coefficients get progressively
* multiplied by powers of 1E3.
* For example:
* data: t(ms), x
* 1 ms, 1
* 2 ms, 4
* 3 ms, 9
* The coefficients are (0, 0, 1).
* In the test, we would convert these coefficients to (0*(1E3)^0, 0*(1E3)^1, 1*(1E3)^2).
*/
TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Constant) {
std::vector<MotionEventEntry> motions = {
{ 0ms, {{1, 1}} }, // 0 s
{ 1ms, {{1, 1}} }, // 0.001 s
{ 2ms, {{1, 1}} }, // 0.002 s
{ 2ms, {{1, 1}} }, // ACTION_UP
};
// The data used for the fit will be as follows:
// time(s), position
// -0.002, 1
// -0.001, 1
// -0.ms, 1
computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({1, 0, 0}));
}
/*
* Straight line y = x :: the constant and quadratic coefficients are zero.
*/
TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Linear) {
std::vector<MotionEventEntry> motions = {
{ 0ms, {{-2, -2}} },
{ 1ms, {{-1, -1}} },
{ 2ms, {{-0, -0}} },
{ 2ms, {{-0, -0}} }, // ACTION_UP
};
// The data used for the fit will be as follows:
// time(s), position
// -0.002, -2
// -0.001, -1
// -0.000, 0
computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({0, 1E3, 0}));
}
/*
* Parabola
*/
TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Parabolic) {
std::vector<MotionEventEntry> motions = {
{ 0ms, {{1, 1}} },
{ 1ms, {{4, 4}} },
{ 2ms, {{8, 8}} },
{ 2ms, {{8, 8}} }, // ACTION_UP
};
// The data used for the fit will be as follows:
// time(s), position
// -0.002, 1
// -0.001, 4
// -0.000, 8
computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({8, 4.5E3, 0.5E6}));
}
/*
* Parabola
*/
TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Parabolic2) {
std::vector<MotionEventEntry> motions = {
{ 0ms, {{1, 1}} },
{ 1ms, {{4, 4}} },
{ 2ms, {{9, 9}} },
{ 2ms, {{9, 9}} }, // ACTION_UP
};
// The data used for the fit will be as follows:
// time(s), position
// -0.002, 1
// -0.001, 4
// -0.000, 9
computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({9, 6E3, 1E6}));
}
/*
* Parabola :: y = x^2 :: the constant and linear coefficients are zero.
*/
TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Parabolic3) {
std::vector<MotionEventEntry> motions = {
{ 0ms, {{4, 4}} },
{ 1ms, {{1, 1}} },
{ 2ms, {{0, 0}} },
{ 2ms, {{0, 0}} }, // ACTION_UP
};
// The data used for the fit will be as follows:
// time(s), position
// -0.002, 4
// -0.001, 1
// -0.000, 0
computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({0, 0E3, 1E6}));
}
} // namespace android