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This paper describes an approach to real-life task tracking using a multi-modal, on-body sensor system. The specific example that we study is quality inspection in car production. This task is composed of up to 20 activity classes such as checking gaps between parts of the chassis, opening and closing the hood and trunk, moving the driver's seat, and turning the steering wheel. Most of these involve...
We describe the use of upper leg mounted force sensitive resistors (FSR) to analyze muscle activity during bicycling. We demonstrate that FSRs can provide information that is not accessible to motion sensors, like the gear in which a person is cycling or rather the amount of force applied to the pedals. This is exemplary for many other activities where the effort and subtle muscle activities patterns...
A context-aware wearable computing system could support a production or maintenance worker by recognizing the worker's actions and delivering just-in-time information about activities to be performed.
We present an experiment that investigates the usefulness of muscle monitoring information from arm mounted force sensitive resistors (FSR) for activity recognition. The paper is motivated by previous work that has demonstrated the feasibility of using FSRs for muscle activity monitoring (on leg muscles) and presented some initial signals related to distinct arm activities. We systematically investigate...
We present a novel method for continuous activity recognition based on ultrasonic hand tracking and motion sensors attached to the user's arms. It builds on previous work in which we have shown such a sensor combination to be effective for isolated recognition in manually segmented data. We describe the hand tracking based segmentation, show how classification is done on both the ultrasonic and the...
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