Analysis of Indoor Rowing Motion using Wearable Inertial Sensors
Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2016, Vol 2, Issue 6
Abstract
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.
Authors and Affiliations
Stephan Bosch, Muhammad Shoaib, Stephen Geerlings, Lennart Buit, Nirvana Meratnia, Paul Havinga
Keywords
Related Articles
- EP ID EP46477
- DOI http://dx.doi.org/10.4108/eai.28-9-2015.2261465
- Views 323
- Downloads 0
Powering environment monitoring Wireless Sensor Networks: A review of design and operational challenges in Eastern Africa
This paper discusses the various design and operational challenges that we have met in providing power to Wireless Sensor Networks (WSNs) deployed in environment monitoring in East Africa. While such deployments in Afric...
PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology
In 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it i...
Tele-Economics in MTC: what numbers would not show
This paper elaborates on the relevance of Tele-Economic research to understand the effect that Machine-Type Commu- nications (MTC) has on different markets and also the market forces affecting the adoption of services ba...
BER and NCMSE based Estimation algorithms for Underwater Noisy Channels
Channel estimation and equalization of sparse multipath channels is a real matter of concern for researchers in the recent past. Such type of channel impulse response is depicted by a very few significant non-zero taps t...
Stretchable and Highly Conductive Carbon Nanotube-Graphene Hybrid Yarns for Wearable Systems
Carbon Nanotubes (CNTs) have emerged as potential candidates for replacement of conventional metals due to their significant mechanical, electrical, thermal properties and non-oxidizing abilities [1, 2]. The density of C...