Preliminary Investigation of Walking Motion Using a Combination of Image and Signal Processing

TitlePreliminary Investigation of Walking Motion Using a Combination of Image and Signal Processing
Publication TypeConference Paper
Year of Publication2016
AuthorsBradley Schneider, Tanvi Banerjee
Conference Name2016 International Conference on Computational Science and Computational Intelligence
Date Published12/2016
Conference LocationLas Vegas, NV
Keywordsactivity detection, gait analysis, motion and tracking algorithms and applications, video analysis
Abstract

We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video in a controlled setting shows strong promise of being utilized in different activity monitoring applications such as in the eldercare environment, as well as for monitoring chronic healthcare conditions.

Citation:
B. Schneider & T. Banerjee, “Preliminary Investigation of Walking Motion Using a Combination of Image and Signal Processing”, accepted, 2016 International Conference on Computational Science and Computational Intelligence (CSCI'16: December 15-17, 2016, Las Vegas, USA).