Classifying social actions with a single accelerometer

UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2013, Pages 207-210

  Hung, Hayley ^a   Englebienne, Gwenn ^b   Kools, Jeroen ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Human behavior; Social actions; Wearable sensors

Indexed keywords

BODY-WORN ACCELEROMETERS; ENVIRONMENTAL NOISE; HUMAN BEHAVIORS; SOCIAL ACTIONS; SOCIAL SETTINGS; WEARABLE SENSORS;

ESTIMATION; EXPERIMENTS; SENSORS; SOCIAL ASPECTS; UBIQUITOUS COMPUTING;

ACCELEROMETERS;

EID: 84885236166     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2493432.2493513     Document Type: Conference Paper

References (18)

1. L. Bao and S. Intille. Activity recognition from user-annotated acceleration data. Pervasive Computing, pages 1-17, 2004.
2. C. Cattuto, W. Van den Broeck, A. Barrat, V. Colizza, J. Pinton, and A. Vespignani. Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks. PLOS ONE, 5(7):e11596, 07 2010.
3. T. L. Chartrand and J. A. Bargh. The chameleon effect: the perception-behavior link and social interaction. Journal of Personality and Social Psychology, 76(6):893-910, 1999.
4. C. Doukas, I. Maglogiannis, P. Tragas, D. Liapis, and G. Yovanof. Patient fall detection using support vector machines. Artificial Intelligence and Innovations 2007: from Theory to Applications, pages 147-156, 2007.
5. H. Hung and D. Gatica-Perez. Estimating cohesion in small groups using audio-visual nonverbal behavior. Multimedia, IEEE Transactions on, 12(6):563-575, 2010.
6. D. Jayagopi, H. Hung, C. Yeo, and D. GaticaPerez. Modeling dominance in group conversations from non-verbal activity cues. IEEE Transactions on Audio, Speech and Language Processing, 2008.
7. A. Kendon. Movement coordination in social interaction: Some examples described. Acta Psychologica, 32:101-125, 1970.
8. A. Kendon. Conducting Interaction: Patterns of Behavior in Focused Encounters. Cambridge University Press, 1990.
9. J. R. Kwapisz, G. M. Weiss, and S. A. Moore. Activity recognition using cell phone accelerometers. ACM SIGKDD Explorations Newsletter, 12(2):74-82, 2011.
10. B. Lepri, J. Staiano, G. Rigato, K. Kalimeri, A. Finnerty, F. Pianesi, N. Sebe, and A. Pentland. The SocioMetric Badges Corpus: A Multilevel Behavioral Dataset for Social Behavior in Complex Organizations. In SocialCom/PASSAT, pages 623-628. IEEE, 2012.
11. M. S. Mast. Dominance as Expressed and Inferred Through Speaking Time. Human Communication Research, (3):420-450, July 2002.
12. D. McNeill. Language and Gesture. Cambridge University Press New York, 2000.
13. D. O. Olguin, B. N. Waber, T. Kim, A. Mohan, K. Ara, and A. Pentland. Sensible Organizations: Technology and Methodology for Automatically Measuring Organizational Behavior. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 39(1), 2009.
14. K. O'Quin and J. Aronoff. Humor as a Technique of Social Influence. Social Psychology Quarterly, 44(4):349-357, Dec. 1981.
15. S. Reddy, M. Mun, J. Burke, D. Estrin, M. Hansen, and M. Srivastava. Using mobile phones to determine transportation modes. ACM Transactions on Sensor Networks (TOSN), 6(2):13, 2010.
16. E. J. Romero and K. W. Cruthirds. The Use of Humor in the Workplace. Academy of Management Perspectives, 20(2):58-69, 2006.
17. D. Wyatt, T. Choudhury, J. Bilmes, and J. A. Kitts. Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science. ACM Trans. Intell. Syst. Technol., 2(1):7:1-7:41, Jan. 2011.
18. T. Zhang, J. Wang, P. Liu, and J. Hou. Fall detection by embedding an accelerometer in cellphone and using KFD algorithm. International Journal of Computer Science and Network Security, 6(10):277-284, 2006.