Fuzzy logic based intention recognition in STS processes

Hang Lu
,
Dayou Li
,
Renxi Qiu

University of Bedfordshire

Research Output:

Chapter in Book/Report/Conference proceeding

Conference contribution

Peer-review

Open access

Abstract

This paper represents a fuzzy logic based classifier that is able to recognise human users' intention of standing up from their behaviours in terms of the force they apply to the ground. The research reported focused on the selection of meaningful input data to the classifier and on the determination of fuzzy sets that best represent the intention information hidden in the force data. The classifier is a component of a robot chair which provides the users with assistance to stand up based on the recognised intention by the classifier.

Publication Information

Output type

Research Output:

Chapter in Book/Report/Conference proceeding

Conference contribution

Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 113-118

Publication milestones

Published - 19/01/2017

Publication status

Published - 19/01/2017

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781509029457

Publication IDs

handle.net: 10547/622034
Scopus: 85012000546

Host publication title

2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)

Access to documents

10.1109/3M-NANO.2016.7824947

Fuzzy Logic based Intention recognition in STS processes.pdf

Accepted author manuscript, 928.16 KB

License:CC BY-NC-ND

http://ieeexplore.ieee.org/document/7824947/

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