feat: iterate on SsfStepDetector
* use SSF signal instead of accelerometer signal
* use higher BEAT_CORR_THR_{12} for SSF signal
* add absolute SSF_THRESHOLD to ignore small accelero bumps
* compute ssf_threshold according to detected SSF peaks, not the mean (more robust vs. noise)
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@@ -3,6 +3,7 @@
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//
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#include <gtest/gtest.h>
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//#include <utility>
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#include <deque>
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#include "pd_signal.h"
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using namespace pd_signal;
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@@ -42,29 +43,42 @@ TEST(SignalTest, ranges) {
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*/
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class RunningQuality {
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protected:
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// TODO: make it a filter (output proper samples)
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/** template beat is resampled to this #samples */
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const int BEAT_LEN = 120 /* 2*FPS for 30 bpm lower end */;
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/** threshold for accepting initial beats */
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const double BEAT_CORR_THR_1 = 0.8;
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const double BEAT_CORR_THR_1 = 0.9;
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/** threshold for accepting subsequent beats */
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const double BEAT_CORR_THR_2 = 0.6;
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const double BEAT_CORR_THR_2 = 0.8;
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/** absolute SSF threshold for accepting any beat */
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const double SSF_THRESHOLD = 5.0;
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/** number of recent beats to use for beat template. must be even (alternating feet have different patterns; make it symmetric) */
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const int NUM_BEATS = 4;
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std::vector<std::vector<double> > beatTemplates;
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std::deque<std::vector<double> > beatTemplates;
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std::vector<double> beatTemplate;
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//std::vector<std::pair<int, int> > badBeatRanges;
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double beatCorrThr2;
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bool justLocked;
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int idx;
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/** for debugging only - disable SSF_THRESHOLD */
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bool disableSsf;
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void addTemplate(std::vector<double>& x) {
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beatTemplates.push_back(x);
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beatTemplates.emplace_back(x);
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while (beatTemplates.size() > NUM_BEATS) {
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// sliding window on 'beat_templates', do not use all history
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beatTemplates.pop_front();
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}
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pd_signal::mean(beatTemplate, beatTemplates);
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}
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void replaceTemplate(std::vector<double>& x) {
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beatTemplates.clear();
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beatTemplates.push_back(x);
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beatTemplates.emplace_back(x);
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// essentially just a copy
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pd_signal::mean(beatTemplate, beatTemplates);
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}
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@@ -73,28 +87,35 @@ protected:
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virtual void dispatchBeat(int idx, bool good, double posCorr) { /* implement me, add Listener etc. */ }
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public:
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RunningQuality(): beatCorrThr2(BEAT_CORR_THR_2), justLocked(false), idx(0) {}
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RunningQuality(): beatCorrThr2(BEAT_CORR_THR_2), justLocked(false), idx(0), disableSsf(false) {}
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explicit RunningQuality(bool disableSsf): beatCorrThr2(BEAT_CORR_THR_2), justLocked(false), idx(0), disableSsf(disableSsf) {}
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virtual ~RunningQuality() {}
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// note: arg should be an iterator really, but can do later
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/**
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* @param beat individual beat accelero signal
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*/
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void append(std::vector<double> &rawBeat) {
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void append(std::vector<double> &rawBeat, std::vector<double> &rawSsf) {
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// TODO: should ignore crazy-long and very short beats here. (filter up on beat detector)
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std::vector<double> beat;
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std::vector<double> ssf;
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resample(beat, rawBeat, BEAT_LEN);
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resample(ssf, rawSsf, BEAT_LEN);
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//std::ranges::copy(rawBeat, std::back_inserter(beat));
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// check ssf at sample 2 (mid-slope of 4 window of ssf)
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// TODO: param upon SsfFilter.upslope_width/2 instead of hardcoding
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double checkedSsf = ssf[(int) (2*((double)beat.size())/((double)rawBeat.size()))];
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double corr = std::numeric_limits<double>::quiet_NaN();
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double posCorr = std::numeric_limits<double>::quiet_NaN();
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bool goodBeat = false;
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if (beatTemplates.size() > 0) {
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corr = pd_signal::crossCorr(beat, beatTemplate);
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corr = pd_signal::crossCorr(ssf, beatTemplate);
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posCorr = pd_signal::clip(corr, 0.0, 1.0);
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double corrThreshold = (beatTemplates.size() > 2) ? beatCorrThr2 : BEAT_CORR_THR_1;
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goodBeat = (corr > corrThreshold);
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goodBeat = (corr > corrThreshold) && (checkedSsf > SSF_THRESHOLD || disableSsf);
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}
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if (beatTemplates.size() == 0) {
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@@ -144,6 +165,7 @@ protected:
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public:
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DebugRunningQuality(): locked(false) {}
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explicit DebugRunningQuality(bool disableSsf): RunningQuality(disableSsf), locked(false) {}
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virtual ~DebugRunningQuality() {}
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bool isLocked() { return locked; }
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std::vector<double> getCorrs() { return corrs; }
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@@ -172,16 +194,16 @@ TEST(SignalTest, resample_same_len) {
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*/
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TEST(SignalTest, RunningQuality_t1) {
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DebugRunningQuality sqi;
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DebugRunningQuality sqi(true);
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std::vector a {0.0, 0.3, 0.9, 1.0, 0.7, 0.5, 0.1};
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std::vector b {0.0, 0.3, 0.9, 1.0, 0.5, 0.5, 0.1};
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std::vector c {0.0, 0.3, 0.9, 1.0, 0.9, 0.5, 0.1};
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std::vector d {0.0, 0.3, 0.9, 1.0, 0.7, 0.4, 0.1};
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sqi.append(a);
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sqi.append(b);
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sqi.append(c);
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sqi.append(a, a);
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sqi.append(b, b);
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sqi.append(c, c);
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EXPECT_FALSE(sqi.isLocked());
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sqi.append(d);
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sqi.append(d, d);
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EXPECT_TRUE(sqi.isLocked());
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ASSERT_EQ(1, sqi.getCorrs().size());
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double norm = sqrt((0.3*0.3 + 0.9*0.9 + 1.0 + 0.7*0.7 + 0.5*0.5 + 0.1*0.1) // \sum x_i^2
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