Face-to-face social activity detection using data collected with a wearable device

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5524 LNCS, Issue , 2009, Pages 56-63

  Casale, Pierluigi ^a,b   Pujol, Oriol ^a,b   Radeva, Petia ^a,b  

^a Barcelona Perception Computing Lab   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

Author keywords

Activity Classification; Social Activity Detection; Socially Aware Sensors; Wearable Devices

Indexed keywords

ACTIVITY CLASSIFICATION; FACE DETECTOR; HARDWARE AND SOFTWARE; MOTION DATA; MULTI SENSOR; SOCIAL ACTIVITIES; SOCIAL ACTIVITY DETECTION; SOCIAL BEHAVIOUR; SOCIALLY-AWARE SENSORS; USER ACTIVITY; USER MOVEMENT; WEARABLE DEVICES;

IMAGE ANALYSIS; PATTERN RECOGNITION;

SENSORS;

EID: 68749088800     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02172-5_9     Document Type: Conference Paper

References (9)

1. Moran, T.P., Dourish, P.: Introduction to Special Issue on Context-Aware Computing. Human-Computer Interaction (HCI) 16(2-3), 87-96 (2001)
2. Pentland, A.: Socially Aware Media. In: MULTIMEDIA 2005: Proceedings of the 13th annual ACM international conference on Multimedia, vol. 1, pp. 690-695 (2005)
3. Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., Smyth, G., Kapur, N., Wood, K.: SenseCam: A Retrospective Memory Aid. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 177-193. Springer, Heidelberg (2006)
4. Dietterich, T.G.: Machine Learning for Sequential Data: A Review. In: Caelli, T.M., Amin, A., Duin, R.P.W., Kamel, M.S., de Ridder, D. (eds.) SPR 2002 and SSPR 2002. LNCS, vol. 2396, pp. 15-30. Springer, Heidelberg (2002)
5. Wolpert, D.H.: Stacked generalization. Neural Netw. 5(2), 241-259 (1992)
6. Allwein, E.L., Schapire, R.E., Singer, Y.: Reducing multiclass to binary: a unifying approach for margin classifiers. JMLR 1, 113-141 (2001)
7. Bao, L., Intille, S.S.: Activity recognition from user-annotated acceleration data. In: Proc. Pervasive, Vienna, Austria, vol. 1, pp. 1-17 (2004)
8. Huang, L., Shimizu, A., Kobatake, H.: Classification-based face detection using Ga-bor filter features. Automatic Face and Gesture Recognition 21(9), 849-870 (2004)
9. Georghiades, A.S., Belhumeur, P.N., Kriegman, D.J.: From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 643-660 (2001)