Smart Sensor Architectures for Embedded Biosignal Analysis

Pfundt B, Reichenbach M, Eskofier B, Fey D (2013)


Publication Type: Conference contribution

Publication year: 2013

Publisher: ECSI Media

Edited Volumes: Conference on Design and Architectures for Signal and Image Processing, DASIP

City/Town: Cagliari, Italy

Book Volume: 1

Pages Range: 1-8

Edition: 1

Conference Proceedings Title: Proceedings of the 2013 Conference on Design & Architectures for Signal & Image Processing

Event location: Cagliari

ISBN: 979-10-92279-02-3

Abstract

In many sports and medical applications small and wearable sensors are used that capture motion and physiological signals. Yet, commonly such sensor are only capable of acquiring raw data, which is afterwards transmitted to a smartphone or other mobile computing device where processing and classification is carried out. This results in limited usability because another device has to be worn. Moreover, high power consumption due to continuous transmission is a main disadvantage. Therefore, we propose a smart sensor approach that can alleviate these problems by carrying out the processing on the sensor itself. To house the processing schemes in the sensor node we developed a new computer architecture utilizing an FPGA and an ASIC. To show the benefits of the in-sensor processing, we chose two representative biosensor applications: a movement and fall detection system for the elderly and a swimming style recognition system for professional athletes. Compared to conventional approaches the same classification rate can be achieved while saving space, power, weight and setup costs.

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How to cite

APA:

Pfundt, B., Reichenbach, M., Eskofier, B., & Fey, D. (2013). Smart Sensor Architectures for Embedded Biosignal Analysis. In Proceedings of the 2013 Conference on Design & Architectures for Signal & Image Processing (pp. 1-8). Cagliari: Cagliari, Italy: ECSI Media.

MLA:

Pfundt, Benjamin, et al. "Smart Sensor Architectures for Embedded Biosignal Analysis." Proceedings of the Design & Architectures for Signal & Image Processing, Cagliari Cagliari, Italy: ECSI Media, 2013. 1-8.

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