We didn't start the fire, it was always burning since technology became integrated into wearable things that can be traced back to the early 1500s. This earliest forms of wearable technology were manifested as pocket watches. Of course technology changed and evolved, but again it might be the watch, now in form of a wrist worn smart watch, that could carve the way towards an always on, large scale, planet spanning, body sensor network. The challenge arises on how to handle this enormous scale of upcoming smart watches and the produced data. This work highlights a strategy on how to make use of the massive amount of smart watches in building goal oriented, dynamically evolving network structures that autonomously adapt to changes in the smart watch ecosystem like cells do in the human organism.
Contextual information of persons can be comprised of a variety of different fragments. The sensor-based recognition of activities, which is one very important part of contextual information, is very well evaluated in laboratory surroundings with different sensor configurations. This paper presents the utilization of locomotion and location information inferred from sensor-readings in a real-world setting by applying a system that operates in an opportunistic and unobtrusive way. We let the rubber hit the road by exploiting locomotion and (in-door) location information in private households to optimize the energy consumption in terms of autonomous and implicit control of electronic appliances. By using onbody and environmental sensor devices, that are not presumably fixed, thus are accessed in an opportunistic manner, our system is able to safely control devices in terms of implicitly optimizing the energy consumption. We have conducted a field study in 15 households, where we have used the location and locomotion information of the residents to decide with a rule-based background intelligence, which electronic appliances can be safely turned off.
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