The MERL motion detector dataset
Proceedings of the 2007 workshop on Massive datasets
A long-term evaluation of sensing modalities for activity recognition
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Annotating sensor data to identify activities of daily living
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
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Researchers in human-computer interaction and allied fields are increasingly interested in using new sensing capabilities to create context-aware interfaces and devices for the home. Data from sensors worn on the body or installed in an environment can be used by algorithms to infer what activities the home occupant may be engaged in and enable applications to respond accordingly. This one-day CHI'09 workshop would convene a multidisciplinary group of researchers to discuss strategies for creating community resources that might accelerate research on development of home technologies. In particular, the participants will discuss how to collaboratively gather high quality synchronized data streams from real homes, as well as qualitative material about home occupants and their behaviors. The resultant datasets could facilitate work on context modeling and enable researchers in other areas of HCI to explore contextual factors influencing the use of technology in naturalistic settings. The outcome of the workshop will be a community index of existing shared datasets of home behavior and guidelines for those interested in creating and disseminating new datasets.