RunBuddy: A smartphone system for running rhythm monitoring

UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2015, Pages 133-144

  Hao, Tian ^a   Xing, Guoliang ^a   Zhou, Gang ^b  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b Dept of Economics and Thomas Jefferson Program in Public Policy at the College of William and Mary   (United States)

Author keywords

Exercise Monitoring; Running Rhythm; Smartphones

Indexed keywords

MUSCULOSKELETAL SYSTEM; PHYSIOLOGICAL MODELS; PHYSIOLOGY; SIGNAL ENCODING; SMARTPHONES;

AMBIENT SENSING; BLUETOOTH HEADSETS; EXERCISE FEEDBACK; INDOOR/OUTDOOR; LOW-INTENSITY; RUNNING PROCESS; RUNNING RHYTHM; SELF EFFICACY;

UBIQUITOUS COMPUTING;

EID: 84960847146     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2750858.2804293     Document Type: Conference Paper

References (41)

1. EA Aaron, KC Seow, BD Johnson, and JA Dempsey. 1992. Oxygen cost of exercise hyperpnea: implications for performance. Journal of Applied Physiology 72, 5 (1992), 1818-1825.
2. Mark H Anshel and Dan Q Marisi. 1978. Effect of music and rhythm on physical performance. Research Quarterly. American Alliance for Health, Physical Education and Recreation 49, 2 (1978), 109-113.
3. P Bernasconi, P Bürki, A Bührer, EA Koller, and J Kohl. 1995. Running training and co-ordination between breathing and running rhythms during aerobic and anaerobic conditions in humans. European journal of applied physiology and occupational physiology 70, 5 (1995), 387-393.
4. P Bernasconi and J Kohl. 1993. Analysis of co-ordination between breathing and exercise rhythms in man. The Journal of physiology 471, 1 (1993), 693-706.
5. Jacob T Biehl, Piotr D Adamczyk, and Brian P Bailey. 2006. Djogger: A mobile dynamic music device. In CHI06 Extended Abstracts on Human Factors in Computing Systems. ACM, 556-561.
6. Body Mass Index 2004. (2004). http://apps.who.int/bmi.
7. Agata Brajdic and Robert Harle. 2013. Walk detection and step counting on unconstrained smartphones. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. ACM, 225-234.
8. Dennis M Bramble and David R Carrier. 1983. Running and breathing in mammals. Science 219, 4582 (1983), 251-256.
9. Budd Coates and Claire Kowalchik. 2013. Runners World Running on Air: The Revolutionary Way to Run Better by Breathing Smarter. Rodale.
10. Rodrigo De Oliveira and Nuria Oliver. 2008. TripleBeat: enhancing exercise performance with persuasion. In Proceedings of the 10th international conference on Human computer interaction with mobile devices and services. ACM, 255-264.
11. F Garlando, J Kohl, EA Koller, and P Pietsch. 1985. Effect of coupling the breathing-And cycling rhythms on oxygen uptake during bicycle ergometry. European journal of applied physiology and occupational physiology 54, 5 (1985), 497-501.
12. Charles P Hoffmann, Gérald Torregrosa, and Benoit G Bardy. 2012. Sound stabilizes locomotor-respiratory coupling and reduces energy cost. PloS one 7, 9 (2012), e45206.
13. Toshiki Iso and Kenichi Yamazaki. 2006. Gait analyzer based on a cell phone with a single three-Axis accelerometer. In Proceedings of the 8th conference on Human-computer interaction with mobile devices and services. ACM, 141-144.
14. Jabra Wave Mobile Bluetooth Headset 2015. (2015). http://www.jabra.com/products/bluetooth/jabra-wave/jabra-wave.
15. CI Karageorghis, Leighton Jones, and DP Stuart. 2007. Psychological effects of music tempi during exercise. (2007).
16. J Kohl, EA Koller, and M Jäger. 1981. Relation between pedalling-And breathing rhythm. European journal of applied physiology and occupational physiology 47, 3 (1981), 223-237.
17. Eric C Larson, Mayank Goel, Gaetano Boriello, Sonya Heltshe, Margaret Rosenfeld, and Shwetak N Patel. 2012. Spirosmart: Using a microphone to measure lung function on a mobile phone. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing. ACM, 280-289.
18. Jonathan Lester, Carl Hartung, Laura Pina, Ryan Libby, Gaetano Borriello, and Glen Duncan. 2009. Validated caloric expenditure estimation using a single body-worn sensor. In Proceedings of the 11th international conference on Ubiquitous computing. ACM, 225-234.
19. LG Nexus 5 2015. (2015). https://www.google.com/nexus/5/.
20. Fan Li, Chunshui Zhao, Guanzhong Ding, Jian Gong, Chenxing Liu, and Feng Zhao. 2012. A reliable and accurate indoor localization method using phone inertial sensors. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing. ACM, 421-430.
21. Stephen H Loring, Jere Mead, and Thomas B Waggener. 1990. Determinants of breathing frequency during walking. Respiration physiology 82, 2 (1990), 177-188.
22. Hong Lu, Jun Yang, Zhigang Liu, Nicholas D Lane, Tanzeem Choudhury, and Andrew T Campbell. 2010. The Jigsaw continuous sensing engine for mobile phone applications. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems. ACM, 71-84.
23. DONALD A Mahler, BERNADETTE Hunter, TIMOTHY Lentine, and JOSEPH Ward. 1991a. Locomotor-respiratory coupling develops in novice female rowers with training. Medicine and science in sports and exercise 23, 12 (1991), 1362-1366.
24. DONALD A Mahler, CHRISTOPHER R Shuhart, ELIZABETH Brew, and THERESE A Stukel. 1991b. Ventilatory responses and entrainment of breathing during rowing. Medicine and science in sports and exercise 23, 2 (1991), 186-192.
25. William J McDermott, Richard EA Van Emmerik, and Joseph Hamill. 2003. Running training and adaptive strategies of locomotor-respiratory coordination. European journal of applied physiology 89, 5 (2003), 435-444.
26. David Mizell. 2003. Using gravity to estimate accelerometer orientation. In 2012 16th International Symposium on Wearable Computers. IEEE Computer Society, 252-252.
27. Motorola Moto G 2015. (2015). http://www.motorola.com/us/consumers/moto-g/Moto-G/moto-g-pdp.html.
28. Nexus 4 2015. (2015). http://www.google.com/intl/ALL/nexus/4/.
29. Shahriar Nirjon, Robert F Dickerson, Qiang Li, Philip Asare, John A Stankovic, Dezhi Hong, Ben Zhang, Xiaofan Jiang, Guobin Shen, and Feng Zhao. 2012. MusicalHeart: A hearty way of listening to music. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems. ACM, 43-56.
30. Nuria Oliver and Fernando Flores-Mangas. 2006. MPTrain: A mobile, music and physiology-based personal trainer. In Proceedings of the 8th conference on Human-computer interaction with mobile devices and services. ACM, 21-28.
31. Oxycon Mobile 2015. (2015). http://www.carefusion.com.
32. Jiapu Pan and Willis J Tompkins. 1985. A real-Time QRS detection algorithm. Biomedical Engineering, IEEE Transactions on 3 (1985), 230-236.
33. David J Paterson, Graeme A Wood, Alan R Morton, and John D Henstridge. 1986. The entrainment of ventilation frequency to exercise rhythm. European journal of applied physiology and occupational physiology 55, 5 (1986), 530-537.
34. Rangaraj M Rangayyan. 2002. Biomedical signal analysis. IEEE press New York.
35. Samsung Galaxy Nexus 2015. (2015). http://www.samsung.com/us/mobile/cell-phones/SPH-L700ZKASPR.
36. Ben C Sporer, Glen E Foster, A William Sheel, and Donald C McKenzie. 2007. Entrainment of breathing in cyclists and non-cyclists during arm and leg exercise. Respiratory physiology & neurobiology 155, 1 (2007), 64-70.
37. Mayu Sumida, Teruhiro Mizumoto, and Keiichi Yasumoto. 2013. Estimating heart rate variation during walking with smartphone. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. ACM, 245-254.
38. ͆ebastien Villard, Jean-Francois Casties, and Denis Mottet. 2005. Dynamic stability of locomotor respiratory coupling during cycling in humans. Neuroscience letters 383, 3 (2005), 333-338.
39. Voyager Legend Mobile Bluetooth Headset 2015. (2015). http://www.plantronics.com/us/product/voyager-legend.
40. Voyager Pro HD Mobile Bluetooth Headset 2015. (2015). http://www.plantronics.com/us/product/voyager-pro-hd.
41. Andong Zhan, Marcus Chang, Yin Chen, and Andreas Terzis. 2012. Accurate caloric expenditure of bicyclists using cellphones. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems. ACM, 71-84.