NDLI: Recognition and classification of human motion based on hidden Markov model for motion database

Content Provider	IEEE Xplore Digital Library
Author	Ohnishi, Y. Katsura, S.
Copyright Year	2012
Description	Author affiliation: Department of System Design Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama 223-8522, Japan (Ohnishi, Y.; Katsura, S.)
Abstract	In some countries, many problems according to aging are pointed out. Decrease of worker's physical ability is one of them. The old workers have high techniques, but physical ability is lower than that of young workers. And it becomes difficult to keep high quality. Hence it is thought that a power assist by robot is needed. The method that increases human motion simply is mainstream conventional power assist method. However, to assist accurately it is thought that robot has to recognize human motion and has to assist fitly. Hence, the system that save and reproduce human motion “motion database” is necessary. Here, to assist accurately, the motion which includes force information is saved to database. In this research, the trajectory information and the force information of human motion is extracted by using bilateral control and it is modeled. To reproduce appropriate motion from database, a search system is needed. For adapting power assist, the search system should be real-time and be able to search at all times. Therefore, in this research, a real-time motion searching method is proposed. The searching method is based on hidden Markov model because human motion has Markov property. Proposed method can search human motion on real-time while human does motion. The viability of proposed method is confirmed by motion search experiment.
Starting Page	1
Ending Page	6
File Size	1795829
Page Count	6
File Format	PDF
ISBN	9781457710728
e-ISBN	9781457710735
e-ISBN	9781457710711
DOI	10.1109/AMC.2012.6197112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Bosnia and Herzegovina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Humans Force Robots Databases Real time systems Data mining
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in