Computers can recognize human gestures by man-machine interactive systems such as the Xbox Kinect depth camera. Although they can identify easy body movements these systems lack flexible and robust mechanism to perform high-level gesture recognition. This paper proposes a robust method to recognize body actions, it relies on Dynamic Time Warping (DTW), which is a technique used to recognize act...

With the studies of effective representation of music signals and music scores, i.e. chroma and octave features, this work conducts score following and score retrieval. To complement the shortage of chromagram representation, energy distributions in different octaves are used to describe tone height information. By transforming music signals and scores into sequences of feature vectors, score f...

Multi-dimensional time series is playing an increasingly important role in the “big data” era, one noticeable representative being the pervasive trajectory data.Numerous applications ofmulti-dimensional time series all require to find similar time series of a given one, and regarding this purpose, Dynamic Time Warping (DTW) is the most widely used distance measure. Due to the high computation o...

Non-invasive spatial activity recognition is a difficult task, complicated by variation in how the same activities are conducted and furthermore by noise introduced by video tracking procedures. In this paper we propose an algorithm based on dynamic time warping (DTW) as a viable method with which to quantify segmented spatial activity sequences from a video tracking system. DTW is a widely use...

Dynamic Time Warping (DTW) is a time domain based method and widely used in various similar recognition and data mining applications. This paper presents a phase compensation based DTW to process the motor current signals for detecting and quantifying various faults in a two-stage reciprocating compressor under different operating conditions. DTW is an effective method to align up two signals f...

Dynamic time warping (DTW) is an algorithm to find out the similarity between two temporal sequences of varying length. Previous works in this field can be traced back to as early as [1], for automatic speech recognition (ASR). Although this technique became obsolete for ASR with the advent of Hidden Markov Models (HMM) [2] and Deep Neural Network (DNN) based hybrid models [3], [4], DTW was fou...

Automatic phrase detection systems of bird sounds are useful in several applications as they reduce the need for manual annotations. However, birdphrase detection is challenging due to limited training data and background noise. Limited data occur because of limited recordings or the existence of rare phrases. Background noise interference occurs because of the intrinsic nature of the recording...

Speaker verification from talking a few words of sentences has many applications. Many methods as DTW, HMM, VQ and MQ can be used for speaker verification. We applied MQ for its precise, reliable and robust performance with computational simplicity. We also used pitch frequency and log gain contour for further improvement of the system performance.