Using a Live-In Laboratory for Ubiquitous Computing Research

By Stephen S. Intille, Kent Larson, Emmanuel Munguia Tapia, J. Beaudin, Pallavi Kaushik, Jason Nawyn, R. Rockinson. International Conference on Pervasive Computing, 2006

391 citations recorded by the source corpus.

Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Transportation

View Paper: https://www.semanticscholar.org/paper/69dfd0d17ad0eb8c3d117b86e332c3522d259327

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Citations in the corpus

Context-aware wireless sensor networks for assisted living and residential monitoring (2008, background): “Massachusetts Institute of Technology (MIT) and TIAX, LLC are working on the PlaceLab initiative [4], which is a part of the House n project.”
Wireless Sensor Networks for Healthcare (2010, background): “While wireless healthcare systems using various wireless technologies exist, this work focuses on systems based on low-power wireless platforms for physiological and motion monitoring studies, and smartphone-based large-scale studies.”
Egocentric recognition of handled objects: Benchmark and analysis (2009, background): “On the other hand, recent work in the ubiquitous computing and AI communities [11, 30] based on wireless sensors suggests that the identity and manipulation of objects used may serve as robust, detailed indicators for a large variety of daily activities from brushing teeth to medication.”
Creating and benchmarking a new dataset for physical activity monitoring (2012, methodology): “the PlaceLab dataset [8] or a dataset using simple binary sensing nodes to observe activities performed in a home environment [25].”
A Long-Term Evaluation of Sensing Modalities for Activity Recognition (2007, methodology): “We obtained access to the PlaceLab, an instrumented home environment operated as a shared research facility [9], and collected and analyzed data from a couple who lived at the home for a period of 10 weeks.”
A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living (2012, background): “• PlaceLab datasets [42]: The PlaceLab live-in laboratory provides a full home-like environment for data gathering for ubiquitous technologies and home settings studies.”
Activity Recognition on Streaming Sensor Data (2012, background): “A good number of on-going projects in smart environment and activity recognition such as the CASAS project [1], MavHome [2], PlaceLab [3], CARE [4] and the Aware Home [5] stand testimony to the importance of this research area.”
Cross-domain activity recognition (2009, methodology): “The second dataset we use is the MIT PLIA1 dataset 2 [11], which was recorded on March 4, 2005 from 9AM to 1PM in the MIT PlaceLab.”