Ambient intelligence assistant for running sports based on k-NN classifiers

3rd International Conference on Human System Interaction, HSI'2010 - Conference Proceedings

Volumn , Issue , 2010, Pages 605-611

  Lopez Matencio P ^a   Vales Alonso, J ^a   Gonzalez Castano F J ^b   Sieiro, J L ^a   Alcaraz, J J ^a  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

^b UNIVERSITY OF VIGO   (Spain)

Author keywords

Ambient intelligence; K NN classifier; Machine learning; Runner assistant; Wireless sensor network

Indexed keywords

AMBIENT INTELLIGENCE; K-NN CLASSIFIER; MACHINE-LEARNING; RUNNER ASSISTANT; WIRELESS SENSOR;

BIOMETRICS; CLASSIFIERS; LEARNING SYSTEMS; SENSOR NETWORKS; TEXT PROCESSING; WIRELESS SENSOR NETWORKS;

ARTIFICIAL INTELLIGENCE;

EID: 77955696281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HSI.2010.5514507     Document Type: Conference Paper

References (14)

1. K Backx, K van Someren, A Nevill et al (2003) Mathematical prediction of one hour cycle time trial performance under different ambient temperatures. Medicine & Science in Sports & Exercise, vol.35, no.5, p. S30
2. J Karvonen, T Vuorimaa (1988) Heart rate and exercise intensity during sports activities. Practical application. Sports medicine (Auckland, NZ), vol.5, no.5, p. 303
3. T Vihma (2009) Effects of weather on the performance of marathon runners. International Journal of Biometeorology, pp. 1-10
4. T Saponas, J Lester, J Froehlich et al (2008) ilearn on the iphone: Real-time human activity classification on commodity mobile phones. University of Washington CSE Tech Report UW-CSE-08- 04-102
5. D Pfisterer, M Lipphardt, C Buschmann et al (2006) Marathonnet: adding value to large scale sport events-a connectivity analysis. In Proceedings of the first international conference on Integrated internet ad hoc and sensor networks. ACM, p. 12
6. D Spelmezan, J Borchers (2008) Real-time snowboard training system. In CHI '08 Extended Abstracts on Human Factors in Computing Systems. ACM New York, NY, USA, April 05-10
7. D Arvind, A Bates (2008) The speckled golfer. In Proceedings of the ICST 3rd international conference on Body area networks. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2008, p. 28
8. H Ghasemzadeh, R. Jafari (2009) Sport training using body sensor networks: A statistical approach to measure wrist rotation for golf swing. In The Fourth International Conference on Body Area Networks (BodyNets 09), Los Angeles, CA
9. A Quiceno-Manrique, J Alonso-Hernandez, C Travieso-Gonzalez et al (2009) Detection of obstructive sleep apnea in ECG recordings using time-frequency distributions and dynamic features. In Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE, pp. 5559-5562
10. M Arif, M U Akram, F A. Afsar (2009) Arrhythmia beat classification using pruned fuzzy k-nearest neighbor classifier. In Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of, pp. 37-42
11. H Huikuri, T Makikallio, J Perkiomaki (2003) Measurement of heart rate variability by methods based on nonlinear dynamics. Journal of electrocardiology, vol.36, pp. 95-99
12. The collection tree protocol (ctp), tinyos-2.x. [Online]. Available: http://www.tinyos.net/tinyos-2.x/doc/html/tep123.html. Accesed 12 January 2010.
13. J Polastre, J Hill, D Culler (2004) Versatile low power media access for wireless sensor networks. In Proceedings of the 2nd international conference on Embedded networked sensor systems, pp. 03- 05
14. W Haskell, I Lee et al (2007) Physical activity and public health. Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation