Home > Publications
Home University of Twente
Prospective Students
Intranet (internal)

EEMCS EPrints Service

26606 Analysis of Indoor Rowing Motion using Wearable Inertial Sensors
Home Policy Brochure Browse Search User Area Contact Help

Bosch, S. and Shoaib, M. and Geerlings, Stephen and Buit, Lennart and Meratnia, N. and Havinga, P.J.M. (2015) Analysis of Indoor Rowing Motion using Wearable Inertial Sensors. In: Proceedings of the 10th EAI International Conference on Body Area Networks, BODYNETS 2015, 28-30 Sep 2015, Sydney, Australia. ACM.

Full text available as:


403 Kb
Open Access

Exported to Metis


In this exploratory work the motion of rowers is analyzed while rowing on a rowing machine. This is performed using inertial sensors that measure the orientation at several positions on the body. Using these measurements, this work provides a preliminary analysis of the differences between experienced and novice rowers, or between a good and a bad technique. The analysis shows that the measured postural angles show no clear trend that would set apart experienced and novice rowers or a bad and a good technique. However, there are clear differences in absolute postural angle’s consistency and timing consistency of strokes between novice and experienced rowers. We also applied a machine learning technique to the data to find the similarities between different rowers and an experienced reference rower. The results can be used to compare the quality of the rowing technique with respect to a reference. In this paper, we present our initial results as well as the challenges that need to be further explored.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-General
Research Project:COMMIT/SWELL: User Centric Reasoning for Well-working
ID Code:26606
Status:Accepted for publication
Deposited On:18 January 2016
More Information:statisticsmetis

Export this item as:

To correct this item please ask your editor

Repository Staff Only: edit this item