Fundamentals of speech recognition
Fundamentals of speech recognition
Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Extraction of Primitive Motion and Discovery of Association Rules from Human Motion Data
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
On Mining Movement Pattern from Mobile Users
International Journal of Distributed Sensor Networks - Heterogenous Wireless Ad Hoc and Sensor Networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
On acoustic surveillance of hazardous situations
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
iLoc: a framework for incremental location-state acquisition and prediction based on mobile sensors
Proceedings of the 18th ACM conference on Information and knowledge management
CenceMe: injecting sensing presence into social networking applications
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
Energy-accuracy trade-off for continuous mobile device location
Proceedings of the 8th international conference on Mobile systems, applications, and services
Energy-efficient rate-adaptive GPS-based positioning for smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
MoVi: mobile phone based video highlights via collaborative sensing
Proceedings of the 8th international conference on Mobile systems, applications, and services
Computing with instinct
Spatial Data Mining for Highlighting Hotspots in Personal Navigation Routes
International Journal of Data Warehousing and Mining
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Mobile phones have become widely used for obtaining help in emergencies, such as accidents, crimes, or health emergencies. The smartphone is an essential device that can record emergency situations, which can be used for clues or evidence, or as an alert system in such situations. In this paper, we focus on mobile-based identification of potentially unusual, or abnormal events, occurring in a mobile user's daily behavior patterns. For purposes of this research, we have classified events as "unusual" for a mobile user when an event is an infrequently occurring one from the user's normal behavior patterns --all of which are collected and recorded on a user's mobile phone. We build a general unusual event classification model to be automated on the smartphone for use by any mobile phone users. To classify both normal and unusual events, we analyzed the activity, location, and audio sensor data collected from 20 mobile phone users to identify these users' personalized normal daily behavior patterns and any unusual events occurring in their daily activity. We used binary fusion classification algorithms on the subjects' recorded experimental data and ultimately identified the most accurately performing fusion algorithm for unusual event detection.