Conference Paper

Object-Based Activity Recognition with Heterogeneous Sensors on Wrist.

DOI: 10.1007/978-3-642-12654-3_15 Conference: Pervasive Computing, 8th International Conference, Pervasive 2010, Helsinki, Finland, May 17-20, 2010. Proceedings
Source: DBLP

ABSTRACT This paper describes how we recognize activities of daily living (ADLs) with our designed sensor device, which is equipped
with heterogeneous sensors such as a camera, a microphone, and an accelerometer and attached to a user’s wrist. Specifically,
capturing a space around the user’s hand by employing the camera on the wrist mounted device enables us to recognize ADLs
that involve the manual use of objects such as making tea or coffee and watering plant. Existing wearable sensor devices equipped
only with a microphone and an accelerometer cannot recognize these ADLs without object embedded sensors. We also propose an
ADL recognition method that takes privacy issues into account because the camera and microphone can capture aspects of a user’s
private life. We confirmed experimentally that the incorporation of a camera could significantly improve the accuracy of ADL
recognition.

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