High-fidelity device for online recording of foot-stretcher forces during rowing

Krumm, Dominik; Simnacher, Martin; Rauter, Georg; Brunschweiler, Andreas; Odenwald, Stephan; Riener, Robert; Wolf, Peter

doi:10.1016/j.proeng.2010.04.057

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Regardless of the specific goals of each study, most available systems focus on the parameters concerned with the performance of a certain subsystem of the overall problem, such as the boat, the rowing equipment, or the athlete [29,[31][32][33][34][35][36][37][38][39][40][41]. Today, only a limited number of studies present measured results from multi-sensor/multi-purpose monitoring systems [10,[42][43][44].…”

Section: Background and Motivationmentioning

confidence: 99%

A Rigorous and Integrated On-Water Monitoring System for Performance and Technique Improvement in Rowing

Mpimis

Gikas

Gourgoulis

2023

Sensors

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This paper presents a prototype, on-water rowing monitoring system and its testing results for a single scull boat. The proposed system aims at recording critical kinetic (athlete biomechanics and oar/seat movements) and kinematic (boat position, velocity, acceleration, and attitude) parameters for sport performance evaluation and rowing technique improvement. The data acquisition unit is organized in two parts: the first part aims at logging boat kinematics based on GNSS/INS filtering, while the second one facilitates kinetics data recording using a series of analog sensors (potentiometers, strain gauges) installed on the athlete’s body and the boat seat and oars. Both parts are connected to a central unit featuring analog voltage digitizers and a micro-PC for device handling and data storing. In order to test the performance of the system a series of field trials were undertaken featuring different observation scenarios as well as intentionally induced errors in the rowing technique. Analysis revealed the high performance of the system in terms of sensor completeness and setup procedures as well as operational efficiency. Moreover, system performance evaluation exercised through studying raw data recordings and resultant parameters at stroke cycle and average (standardized) stroke cycle level confirmed the fruitfulness of the proposed approach and system and its potential for implementation on a broad scale. Finally, the data acquired from the proposed system were used to compute the adopted input parameters and performance indicators to characterize the system in terms of functionality and operational efficiency.

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Section: Background and Motivationmentioning

confidence: 99%

A Rigorous and Integrated On-Water Monitoring System for Performance and Technique Improvement in Rowing

Mpimis

Gikas

Gourgoulis

2023

Sensors

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“…This M 3trainer uses the sensors of the different components installed in the CAVE i.e. : a tendon-based parallel robot, an instrumented foot stretcher in the rowing boat [1], and an optelectrical motion tracking system (10 cameras, Qualisys, Gothenburg, Sweden). In order to classify rowing errors, the M 3 -trainer compares like a human one the actually observed movement of an athlete with "perfect" reference data.…”

Section: Automated Human Motor Learning With the M 3 -Trainermentioning

confidence: 99%

A virtual trainer concept for robot-assisted human motor learning in rowing

Rauter

Sigrist

Baur

et al. 2011

BIO Web of Conferences

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Keeping the attention level and observing multiple physiological and biomechanical variables at the same time at high precision is very challenging for human trainers. Concurrent augmented feedback, which is suggested to enhance motor learning in complex motor tasks, can also hardly be provided by a human trainer. Thus, in this paper, a concept for a virtual trainer is presented that may overcome the limits of a human trainer. The intended virtual trainer will be implemented in a CAVE providing auditory, visual and haptic cues. As a first application, the virtual trainer will be used in a realistic scenario for sweep rowing. To provide individual feedback to each rower, the virtual trainer quantifies errors and provides concurrent auditory, visual, and haptic feedback. The concurrent feedback will be adapted according to the actual performance, individual maximal rowing velocity, and the athlete's individual perception.

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