![]() Philipose, M., Fishkin, K.P., Perkowitz, M., Patterson, D.J., Hahnel, D., Fox, D., Kautz, H.: Inferring Activities from Interactions with Objects. In: Gellersen, H.-W., Want, R., Schmidt, A. Wilson, D.H., Atkeson, C.G.: Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors. Tapia, E.M., Intille, S.S., Larson, K.: Activity Recognition in the Home Using Simple and Ubiquitous Sensors. This process is experimental and the keywords may be updated as the learning algorithm improves. These keywords were added by machine and not by the authors. Also described is how the kit is being used for acquisition of data in non-laboratory settings where real-time multi-modal sensor information is acquired simultaneously from several sensors worn on the body and up to several hundred sensors distributed in an environment. ![]() This paper describes our design goals and results of the evaluation of some of the sensors and their performance characteristics. The sensors can be used simultaneously with a single receiver in the same environment. The kit also includes five wearable sensors: onbody acceleration, heart rate, ultra-violet radiation exposure, RFID reader wristband, and location beacons. The kit includes six environmental sensors: movement, movement tuned for object-usage-detection, light, temperature, proximity, and current sensing in electric appliances. ![]() The sensors have been optimized for ease of use, ease of installation, affordability, and robustness to environmental conditions in complex spaces such as homes. In this paper, we introduce MITes, a flexible kit of wireless sensing devices for pervasive computing research in natural settings. ![]()
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