Robot semantic mapping through human activity recognition: A wearable sensing and computing approach-Reference-Cited by-同舟云学术

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Robot semantic mapping through human activity recognition: A wearable sensing and computing approach

Published:2015-06 Issue: Volume:68 Page:47-58
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Sheng Weihua^ORCID,Du Jianhao,Cheng Qi,Li Gang,Zhu Chun,Liu Meiqin,Xu Guoqing

Funder

National Science Foundation (NSF)

National Natural Science Foundation of China (NSFC)

Zhejiang University, China

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference46 articles.

1. Toward the human–robot co-existence society: on safety intelligence for next generation robots;Weng;Int. J. Soc. Robot.,2009

2. Robotic mapping: a survey;Thrun,2002

3. Navigation and mapping in large-scale space;Kuipers;AI Mag.,1988

4. Some topological problems in robotics;Baker;Math. Intelligencer,1990

5. E. Menegatti, M. Wright, E. Pagello, A new omnidirectional vision sensor for the spatial semantic hierarchy, in: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2001.

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2. Multiple human activity recognition using iot sensors and machine learning in device-free environment: Feature extraction, classification, and challenges: A comprehensive review;AIP Conference Proceedings;2024

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