Towards global aerobic activity monitoring

ACM International Conference Proceeding Series

Volumn , Issue , 2011, Pages

  Reiss, Attila ^a   Stricker, Didier ^a  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

Activity recognition; Custom decision tree; Data collection; Heart rate; Intensity estimation of physical activity; Physical activity monitoring; Wearable sensors

Indexed keywords

DECISION TREES; HEALTH; HEART; PATIENT MONITORING; PATTERN RECOGNITION; SPORTS; TREES (MATHEMATICS);

ACTIVITY RECOGNITION; DATA COLLECTION; HEART RATES; PHYSICAL ACTIVITY; PHYSICAL ACTIVITY MONITORING;

WEARABLE SENSORS;

EID: 84858022965     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2141622.2141637     Document Type: Conference Paper

References (20)

1. B. E. Ainsworth, W. L. Haskell, M. C. Whitt, M. L. Irwin, a. M. Swartz, S. J. Strath, W. L. O'Brien, D. R. Bassett, K. H. Schmitz, P. O. Emplaincourt, D. R. Jacobs, and a. S. Leon. Compendium of physical activities: an update of activity codes and MET intensities. Medicine and science in sports and exercise, 32(9 Suppl):S498-504, Sept. 2000.
2. L. Alford. What men should know about the impact of physical activity on their health. International journal of clinical practice, 64(13):1731-4, Dec. 2010.
3. L. Bao and S. Intille. Activity recognition from user-annotated acceleration data. In Proc. 2nd Int. Conf. Pervasive Comput, pages 1-17, 2004.
4. G. Bieber and C. Peter. Using physical activity for user behavior analysis. PETRA'08, 282, 2008.
5. G. Bieber, J. Voskamp, and B. Urban. Activity Recognition for Everyday Life on Mobile Phones. In HCI 2009, pages 289{296, 2009.
6. S. E. Crouter, K. G. Clowers, and D. R. Bassett. A novel method for using accelerometer data to predict energy expenditure. Journal of applied physiology (Bethesda, Md. : 1985), 100(4):1324-31, Apr. 2006. (Pubitemid 43671491)
7. M. Ermes, J. Pärkkä, and L. Cluitmans. Advancing from offine to online activity recognition with wearable sensors. In 30th Annual International IEEE EMBS Conference, volume 2008, pages 4451-4454, Jan. 2008.
8. M. Ermes, J. Pärkkä, J. Mäntyjärvi, and I. Korhonen. Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions. IEEE Trans. Inf. Technol. Biomed., 12(1):20-26, Jan. 2008. (Pubitemid 351266639)
9. W. L. Haskell, I.-M. Lee, R. R. Pate, K. E. Powell, S. N. Blair, B. a. Franklin, C. a. Macera, G. W. Heath, P. D. Thompson, and A. Bauman. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Medicine and science in sports and exercise, 39(8):1423-34, Aug. 2007. (Pubitemid 47344026)
10. T. Huynh and B. Schiele. Analyzing features for activity recognition. In sOc-EUSAI '05, pages 159-163. ACM Press, 2005.
11. D. Karantonis, M. Narayanan, M. Mathie, N. Lovell, and B. Celler. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Trans. Inf. Technol. Biomed., 10(1):156-167, 2006. (Pubitemid 43092328)
12. M. O. Leavitt. 2008 Physical Activity Guidelines for Americans, 2008.
13. M.-h. Lee, J. Kim, K. Kim, I. Lee, S. H. Jee, and S. K. Yoo. Physical activity recognition using a single tri-axis accelerometer. In WCECS 2009, volume I, 2009.
14. X. Long, B. Yin, and R. M. Aarts. Single-accelerometer based daily physical activity classification. In 31st Annual International IEEE EMBS Conference, volume 1, pages 6107-6110, Jan. 2009.
15. J. Mattila, H. Ding, and E. Mattila. Mobile tools for home-based cardiac rehabilitation based on heart rate and movement activity analysis. In 31st Annual International IEEE EMBS Conference, pages 6448-6452, 2009.
16. J. Pärkkä, L. Cluitmans, and M. Ermes. Personalization algorithm for real-time activity recognition using PDA, wireless motion bands, and binary decision tree. IEEE Trans. Inf. Technol. Biomed., 14(5):1211-5, Sept. 2010.
17. J. Pärkkä, M. Ermes, K. Antila, M. van Gils, A. Mänttäri, and H. Nieminen. Estimating intensity of physical activity: a comparison of wearable accelerometer and gyro sensors and 3 sensor locations. 29th Annual International IEEE EMBS Conference, 2007:1511-4, Jan. 2007.
18. J. Pärkkä, M. Ermes, P. Korpipää, J. Mäntyjärvi, J. Peltola, and I. Korhonen. Activity classification using realistic data from wearable sensors. IEEE Trans. Inf. Technol. Biomed., 10(1):119-128, Jan. 2006. (Pubitemid 43092325)
19. E. M. Tapia, S. S. Intille, W. Haskell, K. Larson, J. Wright, A. King, and R. Friedman. Real-Time Recognition of Physical Activities and Their Intensities Using Wireless Accelerometers and a Heart Rate Monitor. 2007 11th IEEE International Symposium on Wearable Computers, pages 1-4, Oct. 2007.
20. Trivisio. http://www.trivisio.com.