A Robust Approach to Sequence Classification
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Heartbeat time series classification with support vector machines
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Vibration-based terrain classification for electric powered wheelchairs
Telehealth/AT '08 Proceedings of the IASTED International Conference on Telehealth/Assistive Technologies
Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems
A brief survey on sequence classification
ACM SIGKDD Explorations Newsletter
Sensing human movement of mobility and visually impaired people
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
Learning interpretable SVMs for biological sequence classification
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
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Life-logging has attracted rising attention as the most fundamental elements for developing every rich software today. This paper presents computational estimation and mapping of potential accidents and incidents of wheelchairs from life-logs with a single cheap and mini-sized three-axis accelerometer mounted on a wheelchair. Wheelchair driving data was obtained by real wheelchair users driving with their wheelchair on real roads, but has the sampling time delay and noises. As a first step of computational estimation, wheelchair driving behavior was classified into moving and static action, and the moving action was divided into tough and smooth status of the ground surface. We employed Support Vector Machine for classification, and made the precise supervised data from the video of wheelchair driving. As the result of classification, estimation of moving/static was achieved 98.2% accuracy rate and estimation of tough/smooth surface was achieved 82.6% accuracy rate. From the surface estimation result, wheelchair-driving difficulty was mapped and evaluated.