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Exercise Sensing and Pose Recovery Inference Tool (ESPRIT) - A Compact Stereo-based Motion Capture Solution For Exercise MonitoringCrew exercise is important during long-duration space flight not only for maintaining health and fitness but also for preventing adverse health problems, such as losses in muscle strength and bone density. Monitoring crew exercise via motion capture and kinematic analysis aids understanding of the effects of microgravity on exercise and helps ensure that exercise prescriptions are effective. Intelligent Automation, Inc., has developed ESPRIT to monitor exercise activities, detect body markers, extract image features, and recover three-dimensional (3D) kinematic body poses. The system relies on prior knowledge and modeling of the human body and on advanced statistical inference techniques to achieve robust and accurate motion capture. In Phase I, the company demonstrated motion capture of several exercises, including walking, curling, and dead lifting. Phase II efforts focused on enhancing algorithms and delivering an ESPRIT prototype for testing and demonstration.




Document ID
20160005398
Acquisition Source
Glenn Research Center
Document Type
Other
Authors
Lee, Mun Wai
(Intelligent Automation, Inc. Rockville, MD, United States)
Date Acquired
April 26, 2016
Publication Date
August 1, 2015
Publication Information
Publication: An Overview of SBIR Phase 2 Physical Sciences and Biomedical Technologies in Space
Subject Category
Aerospace Medicine
Man/System Technology And Life Support
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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