NDLI: Extraction of behavior primitives for understanding human standing-up motion

Content Provider	IEEE Xplore Digital Library
Author	Qi An Matsuoka, H. Ikemoto, Y. Asama, H.
Copyright Year	2009
Description	Author affiliation: Department of Research into Artifacts, Center for Engineering, The University of Tokyo, Japan (Ikemoto, Y.; Asama, H.) \|\| IHI Corporation, Japan (Matsuoka, H.) \|\| Department of Precision Engineering, The University of Tokyo, Japan (Qi An)
Abstract	Recently the aging society is very rapid, and it has brought many problems to our society. In order to avoid these difficult situations, we focus on human standing up motion in our research because this motion is so important to our daily life that it is considered meaningful to support the motion. However, the way of human standing up is still unknown because the analysis of human motion is very difficult. Therefore, we develop integrated simulation methods to understanding the motion from human body data, such as muscle activations (EMG) and human joint torques. We carefully analyze human standing up motion based on muscle movements since muscles do move human body. Through our experiments and analysis, two important muscle coordinations (behavior primitives) are found out; one primitive has a function of generating dynamics of the motion by controlling hip, knee, and ankle and the other primitive controls posture of the body with their ankles. These behavior primitives are elucidated to be such an essential factor toward the motion that the way of standing up becomes unstable without them.
Starting Page	1800
Ending Page	1805
File Size	1522447
Page Count	6
File Format	PDF
ISBN	9781424426928
DOI	10.1109/ICMA.2009.5246075
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Muscles Motion analysis Motion control Aging Biological system modeling Electromyography Joints Hip Knee Motion Trajectory Estimation Synergy EMG Torque Estimation
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

Extraction of behavior primitives in human standing-up motion for development of power assisting machine

Muscle Synergy Analysis of Human Standing-Up Motion with Different Chair Heights and Different Motion Speeds

Estimation of joint force/torque based on EMG signals

Study for control of a power assist device. Development of an EMG based controller considering a human model

Rehabilitation training using EMG interface

Forward estimation of joint torque from EMG signal through muscle synergy combinations

Predicting the intended motion with EMG signals for an exoskeleton orthosis controller

Prosthetic hand control based on torque estimation from EMG signals

The architecture of human motion information acquisition system based on surface EMG

Extraction of behavior primitives for understanding human standing-up motion

Similar Documents

Extraction of behavior primitives in human standing-up motion for development of power assisting machine

Muscle Synergy Analysis of Human Standing-Up Motion with Different Chair Heights and Different Motion Speeds

Estimation of joint force/torque based on EMG signals

Study for control of a power assist device. Development of an EMG based controller considering a human model

Rehabilitation training using EMG interface

Forward estimation of joint torque from EMG signal through muscle synergy combinations

Predicting the intended motion with EMG signals for an exoskeleton orthosis controller

Prosthetic hand control based on torque estimation from EMG signals

The architecture of human motion information acquisition system based on surface EMG

Extraction of behavior primitives for understanding human standing-up motion