Defining the complexity of an activity

AAAI Workshop - Technical Report

Volumn WS-11-04, Issue , 2011, Pages 63-67

  Sahaf, Yasamin ^a   Krishnan, Narayanan C ^a   Cook, Diane J ^a  

^a Washington State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITIES OF DAILY LIVING; ACTIVITY RECOGNITION; COMPLEXITY MEASURES; GRAMMAR COMPLEXITY; RECOGNITION SYSTEMS; THREE DIMENSIONS; WORK-IN-PROGRESS;

HEALTH CARE;

EID: 80054916794     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Meghan, M. G. 2002. Activities of Daily Living Evaluation. Encyclopedia of Nursing & Allied Health. Ed. Gale Group, Inc.
2. Hindmarch, I., Lehfeld, H., Jongh, P. and Erzigkeit, H. 1998. The Bayer Activities of Daily Living Scale (B-ADL). Dement Geriatr Cogn Disord. 9(suppl 2):20-26. (Pubitemid 28325622)
3. Garrod, R., Bestall, JC., Paul, EA., Wedzicha, JA. and Jones, PW. 2000. Development and Validation of a Standardized Measure of Activity of Daily Living in Patients with Severe COPD: the London Chest Activity of Daily Living Scale(LCADL). Respir Med. 94(6):589-96. (Pubitemid 30599240)
4. Krishnan, N. C., Panchanathan, S. 2008. Analysis of low resolution accelerometer data for human activity recognition, IEEE conference on Acoustic, Speech and Signal Processing.
5. Singla, G., Cook, G. and Schmitter-Edgecombe, M. 2009. Recognizing independent and joint activities among multiple residents in smart environments. Journal of Ambient Intelligence and Humanized Computing.
6. Nazerfard, E., Das, B., Holder, L.B., and Cook, D.J. 2010. Conditional Random Fields for Activity Recognition in Smart Environments. Proceedings of IHI.
7. Pansiot, J., Stoyanov, D., McIlwraith, D., Lo, B. and Yang, G.Z. 2007. Ambient and Wearable Sensor Fusion for Activity Recognition in Healthcare Monitoring Systems. In Proc. of BSN 07, pp. 208-212.
8. Huynh, T., Schiele, B. 2005. Analyzing features for activity recognition. In: Proc. Soc-EUSAI 2005. ACM Int. Conf. Proceeding Series, ACM Press: 159-163
9. Ward, J., Lukowicz, P., Tr "ostcr, G. and Starner, T. 2005. Activity recognition of assembly tasks using body-worn microphones and accelerometers. In PAMI, vol. 28(10).
10. Ryoo, M. S. and Aggarwal, J. K. 2006. Recognition of Composite Human Activities through Context-Free Grammar based Representation. IEEE Conference on Computer Vision and Pattern Recognition.
11. Chen, Q., Georganas, N. D. and Petriu, E. M. 2007. Real-time vision-based hand gesture recognition using haar-like features. In Proc. of the IEEE Instrumentation and Measurement Technology Conf, pages 1-6.
12. Teixeira, T., Deokwoo Jung, Dublon, G., Savvides, A. 2009. Recognizing activities from context and arm pose using finite state machines. Third ACM/IEEE International Conference on Distributed Smart Cameras. ICDSC.
13. Paternò, F., Mancini, C. and Meniconi, S. 1997. ConcurTaskTrees: A Diagrammatic Notation for Specifying Task Models. In: Proc. of Interact'97. Chapman & Hall, 362-369.
14. Palanque P. & Bastide R. 1970. Synergistic modelling of tasks, system and users using formal specification techniques. Interacting With Computers, Academic Press, 9, 12, pp. 129-153
15. Wood W.A. Transition network grammars for natural language analysis. Communications of the ACM 13, 10, 591-606
16. Moore, D. and Essa, I. 2001. Recognizing multitasked activities using stochastic context-free grammar. In CVPR Workshop on Models vs Exemplars in Computer Vision.
17. Park, S., Aggarwal, J.K. 2004. Semantic-level understanding of human actions and interactions using event hierarchy. CVRP Workshop on Articulated and Non-Rigid Motion, Washington DS, USA.