added beacon stuff similiar architecture then wifi \n added activity percentage stuff \n added testcases

This commit is contained in:
toni
2016-11-04 17:25:49 +01:00
parent 87d5e2ab4c
commit c083aae476
26 changed files with 1207 additions and 144 deletions

View File

@@ -38,12 +38,20 @@ public:
Activity currentActivity;
MovingAVG<float> mvAvg = MovingAVG<float>(20);
/** change this values for much success */
/** change this values for much success
*
* Nexus 6:
* butter = Filter::ButterworthLP<float>(10,0.1f,2);
* threshold = 0.025;
* diffSize = 20;
* FixedFrequencyInterpolator<float> ffi = FixedFrequencyInterpolator<float>(Timestamp::fromMS(100));
*/
const bool additionalLowpassFilter = false;
const int diffSize = 20; //the number values used for finding the activity.
const int diffSize = 20; //the number values used for finding the activity.
const float threshold = 0.025; // if diffSize is getting smaller, treshold needs to be adjusted in the same direction!
Filter::ButterworthLP<float> butter = Filter::ButterworthLP<float>(10,0.1f,2);
Filter::ButterworthLP<float> butter2 = Filter::ButterworthLP<float>(10,0.1f,2);
Filter::ButterworthLP<float> butter = Filter::ButterworthLP<float>(10,0.05f,2);
Filter::ButterworthLP<float> butter2 = Filter::ButterworthLP<float>(10,0.05f,2);
FixedFrequencyInterpolator<float> ffi = FixedFrequencyInterpolator<float>(Timestamp::fromMS(100));
public:
@@ -68,14 +76,14 @@ public:
return STAY;
}
input.push_back(History(ts, baro));
//input.push_back(History(ts, baro));
bool newInterpolatedValues = false;
//interpolate & butter
auto callback = [&] (const Timestamp ts, const float val) {
float interpValue = val;
inputInterp.push_back(History(ts, BarometerData(interpValue)));
//inputInterp.push_back(History(ts, BarometerData(interpValue)));
//butter
float butterValue = butter.process(interpValue);
@@ -113,7 +121,7 @@ public:
}else{
actValue = sum;
}
sumHist.push_back(actValue);
//sumHist.push_back(actValue);
if(actValue > threshold){
currentActivity = DOWN;
@@ -127,7 +135,7 @@ public:
}
}
actHist.push_back(History(ts, BarometerData(currentActivity)));
//actHist.push_back(History(ts, BarometerData(currentActivity)));
return currentActivity;

View File

@@ -0,0 +1,270 @@
#ifndef ACTIVITYBUTTERPRESSUREPERCENT_H
#define ACTIVITYBUTTERPRESSUREPERCENT_H
#include "../../data/Timestamp.h"
#include "../../math/filter/Butterworth.h"
#include "../../math/FixedFrequencyInterpolator.h"
#include "../../math/distribution/Normal.h"
#include <KLib/Assertions.h>
#include <vector>
#include "BarometerData.h"
/**
* receives pressure measurements, interpolates them to a ficex frequency, lowpass filtering
* activity recognition based on a small window given by matlabs diff(window)
*/
class ActivityButterPressurePercent {
public:
struct ActivityProbabilities{
float elevatorDown;
float stairsDown;
float stay;
float stairsUp;
float elevatorUp;
ActivityProbabilities(float elevatorDown, float stairsDown,
float stay, float stairsUp, float elevatorUp) :
elevatorDown(elevatorDown), stairsDown(stairsDown),
stay(stay), stairsUp(stairsUp), elevatorUp(elevatorUp) {;}
ActivityProbabilities() :
elevatorDown(0.01f), stairsDown(0.01f),
stay(0.96f), stairsUp(0.01f), elevatorUp(0.01f) {;}
};
struct History {
Timestamp ts;
BarometerData data;
History(const Timestamp ts, const BarometerData data) : ts(ts), data(data) {;}
};
private:
//just for debugging and plotting
std::vector<History> input;
std::vector<History> inputInterp;
std::vector<History> output;
std::vector<float> sumHist;
std::vector<float> mvAvgHist;
std::vector<ActivityProbabilities> actHist;
bool initialize;
ActivityProbabilities currentActivity;
/** change this values for much success */
const int diffSize = 20; //the number values used for finding the activity.
Filter::ButterworthLP<float> butter = Filter::ButterworthLP<float>(10,0.05f,2);
FixedFrequencyInterpolator<float> ffi = FixedFrequencyInterpolator<float>(Timestamp::fromMS(100));
const float variance = 0.02f;
const float muStairs = 0.04f;
const float muStay = 0.00f;
const float muEleveator = 0.08;
std::vector<float> densities = std::vector<float>(5, 1);
std::vector<float> densitiesOld = std::vector<float>(5, 1);;
public:
/** ctor */
ActivityButterPressurePercent() : currentActivity(ActivityProbabilities(0.01f, 0.01f, 0.96f, 0.01f, 0.01f)){
initialize = true;
}
/** add new sensor readings that were received at the given timestamp */
ActivityProbabilities add(const Timestamp& ts, const BarometerData& baro) {
//init
if(initialize){
butter.stepInitialization(baro.hPa);
initialize = false;
return currentActivity;
}
//input.push_back(History(ts, baro));
bool newInterpolatedValues = false;
//interpolate & butter
auto callback = [&] (const Timestamp ts, const float val) {
float interpValue = val;
//inputInterp.push_back(History(ts, BarometerData(interpValue)));
//butter
float butterValue = butter.process(interpValue);
output.push_back(History(ts, BarometerData(butterValue)));
newInterpolatedValues = true;
};
ffi.add(ts, baro.hPa, callback);
if(newInterpolatedValues == true){
//getActivity
if(output.size() > diffSize){
//diff
std::vector<float> diff;
for(int i = output.size() - diffSize; i < output.size() - 1; ++i){
float diffVal = output[i+1].data.hPa - output[i].data.hPa;
diff.push_back(diffVal);
}
float sum = 0;
for(float val : diff){
sum += val;
}
float actValue = sum;
//sumHist.push_back(actValue);
//calculate the probabilites of walking down/up etc...
densitiesOld = densities;
//in one building there is an ultra fast elevator, therefore we need to clip the activity value...
if(actValue > muEleveator){
actValue = muEleveator;
}
if(actValue < -muEleveator){
actValue = -muEleveator;
}
float densityElevatorDown = Distribution::Normal<float>::getProbability(muEleveator, variance, actValue);
float densityStairsDown = Distribution::Normal<float>::getProbability(muStairs, variance, actValue);
float densityStay = Distribution::Normal<float>::getProbability(muStay, variance, actValue);
float densityStairsUp = Distribution::Normal<float>::getProbability(-muStairs, variance, actValue);
float densityElevatorUp = Distribution::Normal<float>::getProbability(-muEleveator, variance, actValue);
_assertTrue( (densityElevatorDown == densityElevatorDown), "the probability of densityElevatorDown is null!");
_assertTrue( (densityStairsDown == densityStairsDown), "the probability of densityStairsDown is null!");
_assertTrue( (densityStay == densityStay), "the probability of densityStay is null!");
_assertTrue( (densityStairsUp == densityStairsUp), "the probability of densityStairsUp is null!");
_assertTrue( (densityElevatorUp == densityElevatorUp), "the probability of densityElevatorUp is null!");
//_assertTrue( (densityElevatorDown != 0), "the probability of densityElevatorDown is null!");
//_assertTrue( (densityStairsDown != 0), "the probability of densityStairsDown is null!");
//_assertTrue( (densityStay != 0), "the probability of densityStay is null!");
//_assertTrue( (densityStairsUp != 0), "the probability of densityStairsUp is null!");
//_assertTrue( (densityElevatorUp != 0), "the probability of densityElevatorUp is null!");
//todo: aging: wahrscheinlichkeit aufzug zu fahren oder treppe zu steigen, wird nicht knall hart auf 0 gesetzt,
//sobald der sensors nichts mehr hat, sondern wird mit der zeit geringer. größer NV?
//const Timestamp age = ts - ap.getTimestamp();
//wenn aufzug / treppe der größte wert, werden für x timestamps auf die jeweilige katerogie multipliziert.
densities[0] = densityElevatorDown;
densities[1] = densityStairsDown;
densities[2] = densityStay;
densities[3] = densityStairsUp;
densities[4] = densityElevatorUp;
//int highestValueIdx = densities.at(distance(densities.begin(), max_element (densities.begin(),densities.end())));
// if an activity other then staying is detected with a high probability, we are using the previous probability
// to keep it a little while longer. this prevents hard activity changes and helping the transition and evaluation
// to not jump between elevators/stairs and the floor and provide somewhat a smooother floorchange.
// TODO: Put this into the Project and not in Indoor, since this class should only provide the probability of the
// given activity! Since i had no time, this was the fastest solution for now.
// if(highestValueIdx != 2){
// for(int i = 0; i < densities.size(); ++i){
// densities[i] *= densitiesOld[i];
// }
// }
//normalize
float densitySum = densities[0] + densities[1] + densities[2] + densities[3] + densities[4];
for(int i = 0; i < densities.size(); ++i){
densities[i] /= densitySum;
//values cant be zero!
densities[i] = (densities[i] > 0.0f ? densities[i] : 0.01f);
}
// densityElevatorDown /= densitySum;
// densityStairsDown /= densitySum;
// densityStay /= densitySum;
// densityStairsUp /= densitySum;
// densityElevatorUp /= densitySum;
// if one value is 1.0 and all other are 0.0, fix that by providing a small possibility
// densityElevatorDown = (densityElevatorDown > 0.0f ? densityElevatorDown : 0.01f);
// densityStairsDown = (densityStairsDown > 0.0f ? densityStairsDown : 0.01f);
// densityStay = (densityStay > 0.0f ? densityStay : 0.01f);
// densityStairsUp = (densityStairsUp > 0.0f ? densityStairsUp : 0.01f);
// densityElevatorUp = (densityElevatorUp > 0.0f ? densityElevatorUp : 0.01f);
currentActivity = ActivityProbabilities(densities[0], densities[1], densities[2], densities[3], densities[4]);
}
//actHist.push_back(currentActivity);
}
//retruns for every call, indepedent of callback.
return currentActivity;
}
/** get the current Activity */
ActivityProbabilities getCurrentActivity() {
return currentActivity;
}
std::vector<float> getSensorHistory(){
std::vector<float> tmp;
for(History val : input){
tmp.push_back(val.data.hPa);
}
return tmp;
}
std::vector<float> getInterpolatedHistory(){
std::vector<float> tmp;
for(History val : inputInterp){
tmp.push_back(val.data.hPa);
}
return tmp;
}
std::vector<float> getOutputHistory(){
std::vector<float> tmp;
for(History val : output){
tmp.push_back(val.data.hPa);
}
return tmp;
}
std::vector<float> getSumHistory(){
return sumHist;
}
std::vector<ActivityProbabilities> getActHistory(){
return actHist;
}
};
#endif // ACTIVITYBUTTERPRESSUREPERCENT_H