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In this paper, we present a wearable assistant for Parkinson's disease (PD) patients with the freezing of gait (FOG) symptom. This wearable system uses on-body acceleration sensors to measure the patients' movements. It automatically detects FOG by analyzing frequency components inherent in these movements. When FOG is detected, the assistant provides a rhythmic auditory signal that stimulates the...
Activity and gesture recognition from body-worn acceleration sensors is an important application in body area sensor networks. The key to any such recognition task are discriminative and variation tolerant features. Furthermore good features may reduce the energy requirements of the sensor network as well as increase the robustness of the activity recognition. We propose a feature extraction method...
We propose an approach for detecting collective behavior patterns using body-worn sensors in a decentralized, online manner. To reduce complexity, we introduce a set of collective behavior primitives as building blocks, adequate for detection by sensing and communications means. With this, we present a generic distributed signal processing procedure suitable for a decentralized detection of these...
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