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- Emmanuel Munguia Tapia, Stephen S. Intille, Kent Larson
- Pervasive
- 2004
In this work, a system for recognizing activities in the home setting using a set of small and simple state-change sensors is introduced. The sensors are designed to be “tape on and forget” devices… (More)
We study activity recognition using 104 hours of annotated data collected from a person living in an instrumented home. The home contained over 900 sensor inputs, including wired reed switches,… (More)
- Emmanuel Munguia Tapia, Stephen S. Intille, +4 authors Robert H. Friedman
- 11th IEEE International Symposium on Wearable…
- 2007
In this paper, we present a real-time algorithm for automatic recognition of not only physical activities, but also, in some cases, their intensities, using five triaxial wireless accelerometers and… (More)
- Stephen S. Intille, Kent Larson, +4 authors Randy Rockinson
- Pervasive
- 2006
Ubiquitous computing researchers are increasingly turning to sensorenabled “living laboratories” for the study of people and technologies in settings more natural than a typical laboratory. We… (More)
- Emmanuel Munguia Tapia, Stephen S. Intille, Louis Lopez, Kent Larson
- Pervasive
- 2006
In this paper, we introduce MITes, a flexible kit of wireless sensing devices for pervasive computing research in natural settings. The sensors have been optimized for ease of use, ease of… (More)
- Assaf Feldman, Emmanuel Munguia Tapia, Sajid Sadi, Pattie Maes, Chris Schmandt
- Ninth IEEE International Symposium on Wearable…
- 2005
Mobile and wearable interfaces try to integrate digital information into our everyday experiences but usually require more attention than is appropriate and often fail to do so in a natural and… (More)
- Stephen S. Intille, Emmanuel Munguia Tapia, +5 authors Kent Larson
- UbiComp
- 2003
Three tools for acquiring data about people, their behavior, and their use of technology in natural settings are described: (1) a context-aware experience sampling tool, (2) a ubiquitous sensing… (More)
Smartphones can collect considerable context data about the user, ranging from apps used to places visited. Frequent user patterns discovered from longitudinal, multi-modal context data could help… (More)
- Stephen S. Intille, Kent Larson, Jennifer Beaudin, Jason Nawyn, Emmanuel Munguia Tapia, Pallavi Kaushik
- CHI Extended Abstracts
- 2005
We introduce the PlaceLab, a new "living laboratory" for the study of ubiquitous technologies in home settings. The PlaceLab is a tool for researchers developing context-aware and ubiquitous… (More)
Sensor networks hold the promise of truly intelligent buildings: buildings that adapt to the behavior of their occupants to improve productivity, efficiency, safety, and security. To be practical,… (More)