Fuzzy logic based intention recognition in STS processes

Hang Lu; Dayou Li; Renxi Qiu

doi:10.1109/3M-NANO.2016.7824947

Fuzzy logic based intention recognition in STS processes

Hang Lu
, Dayou Li
, Renxi Qiu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Downloads (Pure)

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.

Original language	English
Title of host publication	2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	113-118
ISBN (Print)	9781509029457
DOIs	https://doi.org/10.1109/3M-NANO.2016.7824947
Publication status	Published - 19 Jan 2017
Event	2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale - Duration: 19 Jan 2017 → …

Conference

Conference	2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale
Period	19/01/17 → …
Other	2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale

Keywords

Buttocks
Force
Fuzzy logic
Fuzzy sets
Robots
Torso
Uncertainty

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10.1109/3M-NANO.2016.7824947

Fuzzy Logic based Intention recognition in STS processesAccepted author manuscript, 928 KBLicence: CC BY-NC-ND

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

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title = "Fuzzy logic based intention recognition in STS processes",

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.",

keywords = "Buttocks, Force, Fuzzy logic, Fuzzy sets, Robots, Torso, Uncertainty",

author = "Hang Lu and Dayou Li and Renxi Qiu",

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

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note = "2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale ; Conference date: 19-01-2017",

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Lu, H, Li, D & Qiu, R 2017, Fuzzy logic based intention recognition in STS processes. in 2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO). Institute of Electrical and Electronics Engineers Inc., pp. 113-118, 2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 19/01/17. https://doi.org/10.1109/3M-NANO.2016.7824947

Fuzzy logic based intention recognition in STS processes. / Lu, Hang; Li, Dayou ; Qiu, Renxi.
2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO). Institute of Electrical and Electronics Engineers Inc., 2017. p. 113-118.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, Dayou

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AB - 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.

KW - Buttocks

KW - Force

KW - Fuzzy logic

KW - Fuzzy sets

KW - Robots

KW - Torso

KW - Uncertainty

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DO - 10.1109/3M-NANO.2016.7824947

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

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T2 - 2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale

Y2 - 19 January 2017

ER -

Fuzzy logic based intention recognition in STS processes

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Keywords

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