A methodology to use unknown new sensors for activity recognition by leveraging sporadic interactions with primitive sensors and behavioral assumptions
Alberto Calatroni, Daniel Roggen, Gerhard Tröster · Repository for Publications and Research Data (ETH Zurich) · 2010
In the perspective of activity recognition systems operating for long periods of time in environments susceptible of upgrades, one question that arises is how to exploit a-priori unknown newly discovered sensors for activity recognition.We present a methodology to exploit these unknown new sensors.This methodology uses sporadic interactions with primitive sensors together with behavioral assumptions to confer activity recognition capabilities to a newly discovered sensor.The behavioral assumptions are used to infer additional information from the primitive sensors (e.g.simple reed switches) in ways that go beyond their initially foreseen function (e.g.detecting walking).We explain the methodology on the example of learning how to use an unknown new on-body sensor to detect modes of locomotion, when the user spodarically interacts with instrumented furniture.