NDLI: Comparisons of skill index algorithm in driving for human adaptive mechatronics

Content Provider	IEEE Xplore Digital Library
Author	Hisham Ishak, M.H.I. Kasai, M.F.A.M. Idris, N.H.
Copyright Year	2015
Description	Author affiliation: Dept. of Control & Mechatron. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia (Hisham; Ishak, M.H.I.; Kasai, M.F.A.M.) \|\| Dept. of Geoinf., Univ. Teknol. Malaysia, Skudai, Malaysia (Idris, N.H.)
Abstract	Currently, Human Machine System (HMS) considers being a proven technology, which has gained an important role in various human activities. One of the most recent developments in this area is Human Adaptive Mechatronics (HAM) approach for enhancing human skills. This approach therefore is different compared to an ordinary HMS, in terms of its ability to adapt to the changes in its environment and in the human changing level of skills. The crucial issue in HAM is in evaluating the human skills level on machine operation. Therefore, this paper discussed about the comparisons between the proposed formula to quantify and classify the skill index of human operator with the Fuzzy Logic and other formula. An experiment using a driving car simulator is carried out to clarify those formulas in machine manipulation system. From the comparison it is found that the proposed formulas give better result compared to Fuzzy Logic System and other formula.
Starting Page	1
Ending Page	6
File Size	262164
Page Count	6
File Format	PDF
ISBN	9781479978625
DOI	10.1109/ASCC.2015.7244425
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-31
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Adaptation models Mechatronics Adaptive systems Fuzzy Logic System Human Adaptive Mechatronics Indexes Mechanical systems Artificial intelligence Human Machine System Skill Index
Content Type	Text
Resource Type	Article

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