NDLI: Effective destination determination for semi-autonomous smart electric wheelchair based on history of human activity

Content Provider	IEEE Xplore Digital Library
Author	Takimoto, A. Hashimoto, H. Niitsuma, M.
Copyright Year	2014
Description	Author affiliation: Dept. of Precision Mech., Chuo Univ., Tokyo, Japan (Takimoto, A.; Niitsuma, M.) \|\| Sch. of Ind. Technol. Adv., Inst. of Ind. Technol., Tokyo, Japan (Hashimoto, H.)
Abstract	A smart electric wheelchair for use as a personal mobility tool (PMT) is proposed. To reduce the load on the user, the PMT is integrated with autonomous mobile robot navigation and human input. It is able to reach a destination autonomously based on a directional input from the user. The accuracy of the destination detection depends on the user's input. Therefore, to realize stress-free and efficient movement of the PMT, an appropriate means of destination detection based on inaccurate human input is required. We propose an approach whereby the PMT can determine its destination based not only on the user's input but also on a history of human activity in the living environment. To enable the use of a history of human activity to determine a destination, this paper proposes a map-building method to express a history of human activity on a grid map. An experiment is conducted to evaluate the usefulness of the proposed approach for destination determination based on the subjects' performance of the PMT operation and their mental workload.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	763
Ending Page	769
File Size	1321232
Page Count	7
File Format	PDF
ISBN	9781479949052
DOI	10.1109/INDIN.2014.6945609
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-27
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Navigation Wheelchairs Buildings mobile robot navigation living environments Mobile communication map- building History Smart electric wheelchair
Content Type	Text
Resource Type	Article

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