Modeling Human Activity Semantics for Improved Recognition Performance

Author:

Kim Eunju,Helal Sumi

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Helal, A., King, J., Zabadani, H., Kaddourah, Y.: The Gator Tech Smart House: An Assistive Environment for Successful Aging. In: Hagrass, H. (ed.) Advanced Intelligent Environments. Springer, Heidelberg (2008)

2. Mann, W., Helal, S.: Smart Technology: A Bright Future for Independent Living. The Society for Certified Senior Advisors Journal 21, 15–20 (2003)

3. Kim, E.J., Helal, S., Cook, D.: Human Activity Recognition and Pattern Discovery. IEEE Pervasive Computing 9(1), 48–52 (2010)

4. Kim, E.J., Helal, S.: Revisiting Human Activity Frameworks. In: 2nd International ICST Conference on Wireless Sensor Network Systems and Software - S-Cube (2010)

5. Kuutti, K.: Activity theory as a potential framework for human-computer interaction research. In: Nardi, B.A. (ed.) Context and Consciousness: Activity Theory and Human-Computer Interaction. MIT Press, Cambridge (1996)

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1. A Comparative Sensor Based Multi-Classes Neural Network Classifications for Human Activity Recognition;Journal of Advanced Computational Intelligence and Intelligent Informatics;2018-09-20

2. EFM: evolutionary fuzzy model for dynamic activities recognition using a smartphone accelerometer;Applied Intelligence;2013-04-26

3. Automatic Annotation of Daily Activity from Smartphone-Based Multisensory Streams;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2013

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