Real-time human action recognition on an embedded, reconfigurable video processing architecture

Copyright @ 2008 Springer-Verlag.In recent years, automatic human motion recognition has been widely researched within the computer vision and image processing communities. Here we propose a real-time embedded vision solution for human motion recognition implemented on a ubiquitous device. There are three main contributions in this paper. Firstly, we have developed a fast human motion recognition system with simple motion features and a linear Support Vector Machine (SVM) classifier. The method has been tested on a large, public human action dataset and achieved competitive performance for the temporal template (eg. “motion history image”) class of approaches. Secondly, we have developed a reconfigurable, FPGA based video processing architecture. One advantage of this architecture is that the system processing performance can be reconfiured for a particular application, with the addition of new or replicated processing cores. Finally, we have successfully implemented a human motion recognition system on this reconfigurable architecture. With a small number of human actions (hand gestures), this stand-alone system is performing reliably, with an 80% average recognition rate using limited training data. This type of system has applications in security systems, man-machine communications and intelligent environments.DTI and Broadcom Ltd

FPGA implementation of real-time human motion recognition on a reconfigurable video processing architecture

In recent years, automatic human motion recognition has been widely researched within the computer vision and image processing communities. Here we propose a real-time embedded vision solution for human motion recognition implemented on a ubiquitous device. There are three main contributions in this paper. Firstly, we have developed a fast human motion recognition system with simple motion features and a linear Support Vector Machine(SVM) classifier. The method has been tested on a large, public human action dataset and achieved competitive performance for the temporal template (eg. ``motion history image") class of approaches. Secondly, we have developed a reconfigurable, FPGA based video processing architecture. One advantage of this architecture is that the system processing performance can be reconfigured for a particular application, with the addition of new or replicated processing cores. Finally, we have successfully implemented a human motion recognition system on this reconfigurable architecture. With a small number of human actions (hand gestures), this stand-alone system is performing reliably, with an 80% average recognition rate using limited training data. This type of system has applications in security systems, man-machine communications and intelligent environments

The Collegian: September 16, 2015

Volume 131Issue 4https://openprairie.sdstate.edu/collegian_2015-16/1003/thumbnail.jp

FitU: Motivating Fitness

Lack of exercise is a serious and growing problem on college campuses. In order to address this issue, we created FitU, a step-counting game for mobile devices to motivate the students and faculty of Worcester Polytechnic Institute to get more exercise by walking. FitU was specifically designed for students who have little interest in physical activity and might prefer to spend their time playing video games. As they walk, players automatically earn tokens which they can then spend on virtual elements such as items and mini-games. This system rewards players for walking and uses the aforementioned gameplay elements to keep them interested. We built the FitU app using the Unity game engine and store player data in a Parse database

Development of tests for measurement of primary perceptual-motor performance

Tests for measuring primary perceptual-motor performance for assessing space environment effects on human performanc

Spartan Daily, May 8, 1978

Volume 70, Issue 62https://scholarworks.sjsu.edu/spartandaily/6350/thumbnail.jp

Performance Under Pressure: a comparison of NCAA Division I athletes with general college students

College athletics have faced heavy criticism recently due to increasing revenue generation and cases of misconduct by high profile athletes. Contrarily, there is strong evidence that athletics have a positive effect on the development of individuals personally and professionally. The purpose of this study was to investigate the relationship between the student-athlete experience and the ability to cope with stress and perform in high pressure, non-athletic situations. This was achieved by testing student-athletes and general students in three trials under normal and pressure conditions. The findings suggest that student-athletes are better apt to handle pressure and are therefore less likely to give appraisal to stress, however performance differences were not significant. Findings were somewhat limited by sample size and further investigation into the topic is recommended.Master of Art