Predicting the state of a person by an office-use autonomous mobile robot

Asuki Kouno, Daisuke Takayama, Einoshin Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper we construct an office-use autonomous mobile robot which predicts the state (either stressed, relaxed, usual, or non-existent) of a person at different places and navigates between the places. The productivity of an office worker in advanced countries is a crucial concern and we believe autonomous mobile robots without network connection and with a privacy switch are preferred to privacy-offending solutions such as monitoring cameras. We exploit recent advances in hardware and software to keep the construction cost low. The state prediction of a person in an office is based on support vector machines with image processing with stereo vision. The robot navigation between the prediction places is based on a look-around solution that we devised. Experiments using 8 hours of data gave promising results.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012
Pages80-84
Number of pages5
DOIs
Publication statusPublished - Dec 1 2012
Event2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012 - Macau, China
Duration: Dec 4 2012Dec 7 2012

Publication series

NameProceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012
Volume2

Other

Other2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012
CountryChina
CityMacau
Period12/4/1212/7/12

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software

Cite this

Kouno, A., Takayama, D., & Suzuki, E. (2012). Predicting the state of a person by an office-use autonomous mobile robot. In Proceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012 (pp. 80-84). [6511554] (Proceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012; Vol. 2). https://doi.org/10.1109/WI-IAT.2012.183