NDLI: Spatiotemporal Life-Log Mining of Wheelchair Users' Driving for Visualizing Accessibility of Roads

Content Provider	IEEE Xplore Digital Library
Author	Iwasawa, Y. Yairi, I.E.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Sci. & Technol., Sophia Univ., Tokyo, Japan (Iwasawa, Y.; Yairi, I.E.)
Abstract	This paper introduces a novel system for computational estimation and visualization of a possibility of accidents and incidents using wheelchair users' driving life-logs with three-axis accelerometers mounted on smart devices such as smartphones. Three wheelchair users participated in outdoor driving experiments held in urban center of Tokyo and all their actions were recorded in time-series of acceleration values and filmed on a digital video camera. In total, four units of iPods, which attached on left and right wheels, seats, and user's body, recorded approximately 1,800,000 accelerations signals during 10,000 seconds. In this paper, we analyze and classify life-logs of three wheelchair users' driving as the first step of computational estimation. We employed Support Vector Machine for classification, and created the supervised data from the video by human judgments. The life-logs were classified into moving/resting state and rough/flat state of the ground surface with finding optimal window size from 0.5 sec to 10 sec. As the result of classifications, estimation of moving/resting was achieved 99.8% accuracy rate and estimation of rough/flat surface was achieved 88.3% accuracy rate. Also estimations of driving difficulty were visualized on Google Map, and were evaluated by comparing with actual states of roads about wheelchair driving difficulty.
Sponsorship	Toshiba
Starting Page	680
Ending Page	687
File Size	2211683
Page Count	8
File Format	PDF
e-ISBN	9781479931422
DOI	10.1109/ICDMW.2013.98
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Accuracy accessibility visualization human action recognition Wheelchairs Roads Estimation smart device Acceleration machine learning wheelchair life-logs Accidents
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
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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