Conference contribution
(Conference Contribution)


miPod 2: a new hardware platform for embedded real-time processing in sports and fitness applications


Publication Details
Author(s): Blank P, Hofmann S, Kulessa M, Eskofier B
Publisher: Association for Computing Machinery, Inc
Publication year: 2016
Conference Proceedings Title: Proceedings of the 2016 ACM International Symposium on Wearable Computers
Pages range: 881-884
ISBN: 978-1-4503-4462-3

Event details
Event: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Event location: Heidelberg, Deutschland
Start date of the event: 12/09/2016
End date of the event: 16/09/2016
Language: English

Abstract

In this paper we present the new miPod 2 hardware platform for real-time signal processing and embedded classification of pattern recognition problems in sports and fitness applications. A powerful, energy-friendly and state-of-the-art microcontroller for industry standards, different inertial measurement units, a pulse oximeter, data storages, wireless charging and a Bluetooth Low Energy radio are all integrated into a small and lightweight sensor device. This device is able to capture specified sensor data simultaneously and in addition to execute different complex data processing methods while maintaining high sampling rates and its real-time behavior. The sensor prototype is also easily integrable into different clothes, shoes or sports equipment like balls or rackets to ensure unobtrusive measurements.



How to cite
APA: Blank, P., Hofmann, S., Kulessa, M., & Eskofier, B. (2016). miPod 2: a new hardware platform for embedded real-time processing in sports and fitness applications. In Proceedings of the 2016 ACM International Symposium on Wearable Computers (pp. 881-884). Heidelberg, Deutschland, DE: Association for Computing Machinery, Inc.

MLA: Blank, Peter, et al. "miPod 2: a new hardware platform for embedded real-time processing in sports and fitness applications." Proceedings of the The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Deutschland Association for Computing Machinery, Inc, 2016. 881-884.

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