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Gadgetbridge/app/src/main/java/nodomain/freeyourgadget/gadgetbridge/activities/charts/StepAnalysis.java

221 lines
10 KiB
Java

/* Copyright (C) 2019-2020 Q-er
This file is part of Gadgetbridge.
Gadgetbridge is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Gadgetbridge is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>. */
package nodomain.freeyourgadget.gadgetbridge.activities.charts;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import nodomain.freeyourgadget.gadgetbridge.GBApplication;
import nodomain.freeyourgadget.gadgetbridge.activities.HeartRateUtils;
import nodomain.freeyourgadget.gadgetbridge.model.ActivityKind;
import nodomain.freeyourgadget.gadgetbridge.model.ActivitySample;
import nodomain.freeyourgadget.gadgetbridge.model.ActivityUser;
public class StepAnalysis {
protected static final Logger LOG = LoggerFactory.getLogger(StepAnalysis.class);
public List<StepSession> calculateStepSessions(List<? extends ActivitySample> samples) {
List<StepSession> result = new ArrayList<>();
ActivityUser activityUser = new ActivityUser();
double STEP_LENGTH_M;
final int MIN_SESSION_LENGTH = 60 * GBApplication.getPrefs().getInt("chart_list_min_session_length", 5);
final int MAX_IDLE_PHASE_LENGTH = 60 * GBApplication.getPrefs().getInt("chart_list_max_idle_phase_length", 5);
final int MIN_STEPS_PER_MINUTE = GBApplication.getPrefs().getInt("chart_list_min_steps_per_minute", 40);
int stepLengthCm = activityUser.getStepLengthCm();
int heightCm = activityUser.getHeightCm();
if (stepLengthCm == 0 && heightCm != 0) {
STEP_LENGTH_M = heightCm * 0.43 * 0.01;
} else {
STEP_LENGTH_M = stepLengthCm * 0.01;
}
final double MIN_SESSION_INTENSITY = Math.max(0, Math.min(1, MIN_STEPS_PER_MINUTE * 0.01));
ActivitySample previousSample = null;
Date sessionStart = null;
Date sessionEnd;
int activeSteps = 0; //steps that we count
int stepsBetweenActivePeriods = 0; //steps during time when we maybe take a rest but then restart
int durationSinceLastActiveStep = 0;
int activityKind;
int heartRateForAverage = 0;
int heartRateToAdd = 0;
int heartRateBetweenActivePeriods = 0;
int activeHrSamplesForAverage = 0;
int activeHrSamplesToAdd = 0;
float activeIntensity = 0;
float intensityBetweenActivePeriods = 0;
HeartRateUtils heartRateUtilsInstance = HeartRateUtils.getInstance();
for (ActivitySample sample : samples) {
if (sample.getKind() != ActivityKind.TYPE_SLEEP //anything but sleep counts
&& !(sample instanceof TrailingActivitySample)) { //trailing samples have wrong date and make trailing activity have 0 duration
if (heartRateUtilsInstance.isValidHeartRateValue(sample.getHeartRate())) {
heartRateToAdd = sample.getHeartRate();
activeHrSamplesToAdd = 1;
} else {
heartRateToAdd = 0;
activeHrSamplesToAdd = 0;
}
if (sessionStart == null) {
sessionStart = getDateFromSample(sample);
activeSteps = sample.getSteps();
activeIntensity = sample.getIntensity();
heartRateForAverage = heartRateToAdd;
activeHrSamplesForAverage = activeHrSamplesToAdd;
durationSinceLastActiveStep = 0;
stepsBetweenActivePeriods = 0;
heartRateBetweenActivePeriods = 0;
previousSample = null;
}
if (previousSample != null) {
int durationSinceLastSample = sample.getTimestamp() - previousSample.getTimestamp();
activeHrSamplesForAverage += activeHrSamplesToAdd;
if (sample.getSteps() > MIN_STEPS_PER_MINUTE || //either some steps
(sample.getIntensity() > MIN_SESSION_INTENSITY && sample.getSteps() > 0)) { //or some intensity plus at least one step
activeSteps += sample.getSteps() + stepsBetweenActivePeriods;
activeIntensity += sample.getIntensity() + intensityBetweenActivePeriods;
heartRateForAverage += heartRateToAdd + heartRateBetweenActivePeriods;
stepsBetweenActivePeriods = 0;
heartRateBetweenActivePeriods = 0;
intensityBetweenActivePeriods = 0;
durationSinceLastActiveStep = 0;
} else { //short break data to remember, we will add it to the rest later, if break not too long
stepsBetweenActivePeriods += sample.getSteps();
heartRateBetweenActivePeriods += heartRateToAdd;
durationSinceLastActiveStep += durationSinceLastSample;
intensityBetweenActivePeriods += sample.getIntensity();
}
if (durationSinceLastActiveStep >= MAX_IDLE_PHASE_LENGTH) { //break too long, we split here
int current = sample.getTimestamp();
int starting = (int) (sessionStart.getTime() / 1000);
int session_length = current - starting - durationSinceLastActiveStep;
if (session_length >= MIN_SESSION_LENGTH) { //valid activity session
int heartRateAverage = activeHrSamplesForAverage > 0 ? heartRateForAverage / activeHrSamplesForAverage : 0;
float distance = (float) (activeSteps * STEP_LENGTH_M);
sessionEnd = new Date((sample.getTimestamp() - durationSinceLastActiveStep) * 1000L);
activityKind = detect_activity_kind(session_length, activeSteps, heartRateAverage, activeIntensity);
result.add(new StepSession(sessionStart, sessionEnd, activeSteps, heartRateAverage, activeIntensity, distance, activityKind));
}
sessionStart = null;
}
}
previousSample = sample;
}
}
//trailing activity: make sure we show the last portion of the data as well in case no further activity is recorded yet
if (sessionStart != null && previousSample != null) {
int current = previousSample.getTimestamp();
int starting = (int) (sessionStart.getTime() / 1000);
int session_length = current - starting - durationSinceLastActiveStep;
if (session_length >= MIN_SESSION_LENGTH) {
int heartRateAverage = activeHrSamplesForAverage > 0 ? heartRateForAverage / activeHrSamplesForAverage : 0;
float distance = (float) (activeSteps * STEP_LENGTH_M);
sessionEnd = getDateFromSample(previousSample);
activityKind = detect_activity_kind(session_length, activeSteps, heartRateAverage, activeIntensity);
result.add(new StepSession(sessionStart, sessionEnd, activeSteps, heartRateAverage, activeIntensity, distance, activityKind));
}
}
return result;
}
private int detect_activity_kind(int session_length, int activeSteps, int heartRateAverage, float intensity) {
final int MIN_STEPS_PER_MINUTE_FOR_RUN = GBApplication.getPrefs().getInt("chart_list_min_steps_per_minute_for_run", 120);
int spm = (int) (activeSteps / (session_length / 60));
if (spm > MIN_STEPS_PER_MINUTE_FOR_RUN) {
return ActivityKind.TYPE_RUNNING;
}
if (activeSteps > 200) {
return ActivityKind.TYPE_WALKING;
}
if (heartRateAverage > 90 && intensity > 15) { //needs tuning
return ActivityKind.TYPE_EXERCISE;
}
return ActivityKind.TYPE_ACTIVITY;
}
private boolean isStep(ActivitySample sample) {
return sample.getKind() == ActivityKind.TYPE_WALKING || sample.getKind() == ActivityKind.TYPE_RUNNING || sample.getKind() == ActivityKind.TYPE_ACTIVITY;
}
private Date getDateFromSample(ActivitySample sample) {
return new Date(sample.getTimestamp() * 1000L);
}
public static class StepSession {
private final Date startTime;
private final Date endTime;
private final int steps;
private final int heartRateAverage;
private final float intensity;
private final float distance;
private final int activityKind;
StepSession(Date startTime,
Date endTime,
int steps, int heartRateAverage, float intensity, float distance, int activityKind) {
this.startTime = startTime;
this.endTime = endTime;
this.steps = steps;
this.heartRateAverage = heartRateAverage;
this.intensity = intensity;
this.distance = distance;
this.activityKind = activityKind;
}
public Date getStartTime() {
return startTime;
}
public Date getEndTime() {
return endTime;
}
public int getSteps() {
return steps;
}
public int getHeartRateAverage() {
return heartRateAverage;
}
public int getActivityKind() {
return activityKind;
}
public float getIntensity() {
return intensity;
}
public float getDistance() {
return distance;
}
}
}