Yang Zhao

University of Regina · Department of Computer Sciences

Background Although movement variability and long-range correlations (LRCs) have been assessed in relation to neuropathology and aging during walking, to date only a few studies have investigated these aspects in subjects of different skill levels during prolonged overground running. Research question What effect does skill level and run duration...

From a research perspective, detailed knowledge about stride length (SL) is important for coaches, clinicians and researchers because together with stride rate it determines the speed of locomotion. Moreover, individual SL vectors represent the integrated output of different biomechanical determinants and as such provide valuable insight into the c...

This paper presents a novel stance phase detection procedure based on observations from a foot-mounted inertial measurement unit (IMU). A frequency-tracking algorithm from the field of audio analysis was applied to the inertial signal to obtain information about gait cycle duration. Afterwards, this information was used to determine the stance phas...

This paper presents a novel approach for extracting swimming performance parameters from accelerometer data using techniques traditionally applied to audio analysis. The recorded acceleration data is treated as sampled audio data, with the stroke rate (one of the main parameters to extract) treated as the fundamental frequency. A pitch detection al...

INTRODUCTION: In recent years, several studies have tried to estimate stride length (SL) using body-mounted IMUs and reported promising results. However, many studies have focused on estimating SL for walking and, to the best of our knowledge, no study has explicitly investigated the concurrent validity of a single foot-mounted IMU to estimate SL f...

A new Short-Time Fourier Transform (STFT) pipeline is presented which uses a two-pass method to adapt the size of the analysis window to the period of the signal, which is assumed in this case to be at least pseudo-periodic. The pipeline begins with pitch estimation, followed by upsampling, to construct a new analysis window that matches the length...

In this paper, we present a complete set of procedures to automatically extract a music snippet, defined as the most representative or the highlighted excerpt of a music clip. We first generate a modified and compact similarity matrix based on selected features and distance metrics, and then several improved techniques for music repeated pattern di...

We present a method to automatically discover key phrase from audio recordings in this paper. Chroma features are firstly selected to represent melodic information and a modified similarity matrix based on this feature is then established for repeated pattern searching. We also run a pruning process to discard invalid phrase pairs and a novel bound...

Perceived predominant melody of music is the most convenient and memorable description and can be used for content-based music retrieval. However, including human voice and multiple musical instruments playing together, it is difficult to extract a predominant contour of pitches directly from MP3 music recordings. In order to build a similarity mus...