On optimization of accelerometers deployment for human posture tracking

Chun Hao Wu*, Yuan Tse Chang, Yu-Chee Tseng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We are interested in tracking human postures by deploying accelerometers on a human body. One fundamental issue in such scenarios is how to calculate the gravity, no matter when human body parts are moving or not. Assuming multiple accelerometers being deployed on a rigid part of a human body, a recent work proposes a data fusion method to estimate the gravity on that rigid part. However, how to find the optimal deployment of sensors that minimizes the estimation error of the gravity is still an open problem. In this paper, we formulate the deployment optimization problem. Since the problem is hard, we conduct experiments to observe what the optimal deployments should be.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Body Sensor Networks, BSN 2011
Pages186-190
Number of pages5
DOIs
StatePublished - 2011
Event8th International Conference on Body Sensor Networks, BSN 2011 - Dallas, TX, United States
Duration: 23 May 201125 May 2011

Publication series

NameProceedings - 2011 International Conference on Body Sensor Networks, BSN 2011

Conference

Conference8th International Conference on Body Sensor Networks, BSN 2011
Country/TerritoryUnited States
CityDallas, TX
Period23/05/1125/05/11

Fingerprint

Dive into the research topics of 'On optimization of accelerometers deployment for human posture tracking'. Together they form a unique fingerprint.

Cite this