Giveaway wireless sensors for large-group interaction
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
Battery-free Wireless Identification and Sensing
IEEE Pervasive Computing
Hands-On RFID: Wireless Wearables for Detecting Use of Objects
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
The design of a portable kit of wireless sensors for naturalistic data collection
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Using a live-in laboratory for ubiquitous computing research
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Health-status monitoring through analysis of behavioral patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Stone-Type Physiological Sensing Device for Daily Monitoring in an Ambient Intelligence Environment
AmI '08 Proceedings of the European Conference on Ambient Intelligence
Object relevance weight pattern mining for activity recognition and segmentation
Pervasive and Mobile Computing
Object-based activity recognition with heterogeneous sensors on wrist
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Mimic sensors: battery-shaped sensor node for detecting electrical events of handheld devices
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
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A low-cost kit of stick-on wireless sensors that transmit data indicating whenever various objects are being touched or used might aid ubiquitous computing research efforts on rapid prototyping, context-aware computing, and ultra-dense object sensing, among others. Ideally, the sensors would be small, easy-to-install, and affordable. The sensors would reliably recognize when specific objects are manipulated, despite vibrations produced by the usage of nearby objects and environmental noise. Finally, the sensors would operate continuously for several months, or longer. In this paper, we discuss the challenges and practical aspects associated with creating such "object usage" sensors. We describe the existing technologies used to recognize object usage and then present the design and evaluation of a new stick-on, wireless object usage sensor. The device uses (1) a simple classification rule tuned to differentiate real object usage from adjacent vibrations and noise in real-time based on data collected from a real home, and (2) two complimentary sensors to obtain good battery performance. Results of testing 168 of the sensors in an instrumented home for one month of normal usage are reported as well as results from a 4-hour session of a person busily cooking and cleaning in the home, where every object usage interaction was annotated and analyzed.