arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1203.3500cs.AI
收藏

助行器动作识别概率模型的比较分析

Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker

University of Waterloo(滑铁卢大学);David R. Cheriton School of Computer Science(戴维·R·切里顿计算机科学学院);Research in Motion(黑莓公司(原研究在运动公司))

Farheen Omar, Mathieu Sinn, Jakub Truszkowski, Pascal Poupart, James Tung, Allen Caine

摘要:

滚动助行器是老年人常用的移动辅助设备,用于改善平衡控制。需要自动识别步行者用户执行的活动,以更好地理解活动模式、移动性问题和更可能发生跌倒的环境。我们设计和比较几种技术来识别步行者相关的活动。一个全面的评价与控制对象和步行者从退休社区。

英文摘要:

Rollating walkers are popular mobility aids used by older adults to improve balance control. There is a need to automatically recognize the activities performed by walker users to better understand activity patterns, mobility issues and the context in which falls are more likely to happen. We design and compare several techniques to recognize walker related activities. A comprehensive evaluation with control subjects and walker users from a retirement community is presented.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑