Recognizing bicycling states with HMM based on accelerometer and magnetometer data

Proceedings of the SICE Annual Conference

Volumn , Issue , 2011, Pages 831-832

  Thepvilojanapong, Niwat ^a   Sugo, Keiji ^b   Namiki, Yutaka ^b   Tobe, Yoshito ^b  

^a MIE UNIVERSITY   (Japan)

^b TOKYO DENKI UNIVERSITY   (Japan)

Author keywords

accelerometer; Bicycling states; hidden Markov model; HMM; magnetometer; recognition; sensorized bike

Indexed keywords

ACCELEROMETERS; BICYCLES; GLOBAL POSITIONING SYSTEM; MAGNETOMETERS; MARKOV PROCESSES;

BICYCLING STATES; DESIGN AND IMPLEMENTS; GPS RECEIVERS; HMM-BASED; RAW SENSOR; RECOGNITION; ROAD CONDITION; SENSORIZED BIKE;

HIDDEN MARKOV MODELS;

EID: 81255189549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, and Andrew T. Campbell. The BikeNet mobile sensing system for cyclist experience mapping. In Proceedings of the 5th International Conference on Embedded Networked Sensor Systems (SenSys 2007), pages 87-101, Sydney, Australia, November 2007.
2. Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, and Andrew T. Campbell. BikeNet: A mobile sensing system for cyclist experience mapping. ACM Transactions on Sensor Networks (TOSN), 6:6:1-6:39, December 2009.
3. Lawrence Rabiner and Biing-Hwang Juang. Fundamentals of Speech Recognition. Prentice Hall Signal Processing Series. Prentice Hall PTR, April 1993.
4. Sony Ericsson. Xperia smartphones. http://www.sonyericsson.com/xperia/? cc=gb&lc=en (Accessed: March 15, 2011).