NDLI: Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers

Content Provider	IEEE Xplore Digital Library
Author	Ward, J.A. Lukowicz, P. Troster, G. Starner, T.E.
Copyright Year	1979
Abstract	In order to provide relevant information to mobile users, such as workers engaging in the manual tasks of maintenance and assembly, a wearable computer requires information about the user's specific activities. This work focuses on the recognition of activities that are characterized by a hand motion and an accompanying sound. Suitable activities can be found in assembly and maintenance work. Here, we provide an initial exploration into the problem domain of continuous activity recognition using on-body sensing. We use a mock "wood workshop" assembly task to ground our investigation. We describe a method for the continuous recognition of activities (sawing, hammering, filing, drilling, grinding, sanding, opening a drawer, tightening a vise, and turning a screwdriver) using microphones and three-axis accelerometers mounted at two positions on the user's arms. Potentially "interesting" activities are segmented from continuous streams of data using an analysis of the sound intensity detected at the two different locations. Activity classification is then performed on these detected segments using linear discriminant analysis (LDA) on the sound channel and hidden Markov models (HMMs) on the acceleration data. Four different methods at classifier fusion are compared for improving these classifications. Using user-dependent training, we obtain continuous average recall and precision rates (for positive activities) of 78 percent and 74 percent, respectively. Using user-independent training (leave-one-out across five users), we obtain recall rates of 66 percent and precision rates of 63 percent. In isolation, these activities were recognized with accuracies of 98 percent, 87 percent, and 95 percent for the user-dependent, user-independent, and user-adapted cases, respectively
Sponsorship	IEEE Computer Society
Page Count	15
File Size	2723075
Starting Page	1553
Ending Page	1567
File Format	PDF
ISSN	01628828
Volume Number	28
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Assembly Microphones Accelerometers Linear discriminant analysis Hidden Markov models Mobile computing Wearable computers Character recognition Sawing Drilling industry. Pervasive computing wearable computers and body area networks classifier evaluation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software

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

Vision-based single-stroke character recognition for wearable computing

Fall Detection Using Location Sensors and Accelerometers

Competitive Live Evaluations of Activity-Recognition Systems

Energy-efficient adaptive optical character recognition for wearable devices

From Backpacks to Smartphones: Past, Present, and Future of Wearable Computers

Gesture recognition using Markov Systems and wearable wireless inertial sensors

Pre-classification based hidden Markov model for quick and accurate gesture recognition using a finger-worn device

The Multiple Dispositions of On-Body and Wearable Devices

Text Input on a Smart Watch

Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers

Similar Documents

Vision-based single-stroke character recognition for wearable computing

Fall Detection Using Location Sensors and Accelerometers

Competitive Live Evaluations of Activity-Recognition Systems

Energy-efficient adaptive optical character recognition for wearable devices

From Backpacks to Smartphones: Past, Present, and Future of Wearable Computers

Gesture recognition using Markov Systems and wearable wireless inertial sensors

Pre-classification based hidden Markov model for quick and accurate gesture recognition using a finger-worn device

The Multiple Dispositions of On-Body and Wearable Devices

Text Input on a Smart Watch

Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers