Unobtrusive Estimation of In-Stroke Boat Rotation in Rowing Using Wearable Sensors

Author:

Groh Benjamin H.,Schottenhamml Julia,Eskofier Bjoern M.,Drory Ami

Publisher

Springer International Publishing

Reference12 articles.

1. Berndt, D.J., Clifford, J.: Using dynamic time warping to find patterns in time series. In: KDD Workshop on Knowledge Discovery in Databases, pp. 359–370. AAAI (1994)

2. Blank, P., Kugler, P., Schlarb, H., Eskofier, B.: A wearable sensor system for sports and fitness applications. In: 19th Annual Conference of the European College of Sport Science, p. 703. ECSS (2014)

3. Gravenhorst, F., Tessendorf, B., Arnrich, B., Tröster, G.: Analyzing rowing crews in different rowing boats based on angular velocity measurements with gyroscopes. In: 8th International Symposium on Computer Science in Sport (IACSS), pp. 1–4. IACSS (2011)

4. Groh, B.H., Reinfelder, S.J., Streicher, M.N., Taraben, A., Eskofier, B.M.: Movement prediction in rowing using a dynamic time warping based stroke detection. In: 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 1–6. IEEE (2014)

5. Loschner, C., Smith, R., Galloway, M.: Intra-stroke boat orientation during single sculling. In: 18th International Symposium on Biomechanics in Sports, pp. 1–4. ISBS (2000)

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