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Passive muscle force analysis during vehicle access: a gender comparison

Nahavandi, Darius, Hettiarachchi, Imali and Hossny, Mohammed 2016, Passive muscle force analysis during vehicle access: a gender comparison, in WAC 2016 : Proceedings of the 2016 IEEE World Automation Congress : Machine Learning, Autonomous Vehicle Modeling and Control, IEEE, Piscataway, N.J., pp. 1-5, doi: 10.1109/WAC.2016.7583011.

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Title Passive muscle force analysis during vehicle access: a gender comparison
Author(s) Nahavandi, Darius
Hettiarachchi, ImaliORCID iD for Hettiarachchi, Imali orcid.org/0000-0002-4220-0970
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Conference name IEEE World Automation Congress (2016 : Rio Grande, Puerto Rico)
Conference location Rio Grande, Puerto Rico
Conference dates 31 Jul - 4 Aug 2016
Title of proceedings WAC 2016 : Proceedings of the 2016 IEEE World Automation Congress : Machine Learning, Autonomous Vehicle Modeling and Control
Publication date 2016
Start page 1
End page 5
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Automotive
Ergonomics
Biomechanics
Summary Ensuring customer satisfaction within the automotive industry is a top priority. Primary concerns of satisfaction revolve around perceived comfort of entering and exiting vehicles. The ease of this task is attributed mostly to the design of the vehicles door frame however these are not tailored towards a specific gender. In this paper we present a biomechanical analysis-based gender assessment during entering and exiting a vehicle. The proposed method of analysis provides an assessment that can be used to predict differences between genders. The trials conducted in this study used ten subjects entering a common family vehicle. The discomfort measure based on the normalised muscle forces relies on biomechanical analysis of posture sequences entering and exiting the vehicles.
ISBN 9781889335513
Language eng
DOI 10.1109/WAC.2016.7583011
Field of Research 080110 Simulation and Modelling
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089194

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
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