摘要翻译：
滚动步行器是老年人用来改善平衡控制的流行的行动辅助工具。需要自动识别walker用户进行的活动，以更好地理解活动模式、移动性问题以及摔倒更有可能发生的背景。我们设计并比较了几种识别walker相关活动的技术。对一个退休社区的控制对象和步行者进行了综合评价。
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英文标题：
《Comparative Analysis of Probabilistic Models for Activity Recognition
  with an Instrumented Walker》
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作者：
Farheen Omar, Mathieu Sinn, Jakub Truszkowski, Pascal Poupart, James
  Tung, Allen Caine
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最新提交年份：
2012
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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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.
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PDF链接：
https://arxiv.org/pdf/1203.3500