source: code/branches/wiimote/src/external/wiicpp/log/training.cpp @ 10256

#include "training.h"

/** 
 * Dataset destructor, which calls clear.
 */
Training::~Training()
{
        clear();
}

/**
 * Load a training stored in a file.
 *
 * @param training File stream of the contained training
 */
bool Training::loadTraining(ifstream& training)
{
        string sample, cmd;
        
        // Get a sample 
        getline(training, sample);
        
        // Parse every sample to get the log type
        istringstream sStr(sample);
        sStr >> cmd;
        
        while(!training.eof() && cmd != "END" && cmd != "") {   
                if(cmd == "ACC") 
                        addSample(new AccSample(sStr.str()));
                else if(cmd == "GYRO") 
                        addSample(new GyroSample(sStr.str()));
                else {
                        cout << "[Error] Bad log type." << endl;        
                        return false;   
                }
                
                getline(training, sample);
                sStr.str(sample);
                sStr >> cmd;
        }               
        
        return true;
}

/**
 * Save the training into a file for training and recognition.
 *
 * @param out Stream of the destination file
 */
void Training::save(ofstream& out) const
{       
        // Training Header
        out << "START " << timestamp << endl;
        
        // Samples
        for(unsigned int i = 0 ; i < samples.size() ; i++)
                samples[i]->save(out);
                
        out << "END" << endl;
}

/** 
 * Add a new training to the dataset.
 * 
 * @param sample Add a sample to the training set.
 */
void Training::addSample(Sample* sample)
{
        // We retrieve the overall gesture timestamp
        struct timeval t;
        gettimeofday(&t,0);
        unsigned long sampleTs = (t.tv_sec % 86400) * 1000 + t.tv_usec / 1000;
                
        // We compute the relative timestamp in msec
        unsigned long deltaT = sampleTs - timestamp;
        
        if(sample) {
                sample->setTimestampFromGestureStart(deltaT);
                samples.push_back(sample);
        }
}

/**
 * Delete all samples and clear the buffer. This method will take 
 * care of freeing the memory of each sample in the training set, 
 * hence you don't need to free them in your code.
 */
void Training::clear()
{
        for(unsigned int i = 0 ; i < samples.size() ; i++) {
                if(samples[i]) {
                        delete samples[i];
                        samples[i] = 0;
                }
        }
        samples.clear();
}