Sensors 2013, 13(9), 12218-12243; doi:10.3390/s130912218

MARS, a Multi-Agent System for Assessing Rowers’ Coordination via Motion-Based Stigmergy

Received: 10 July 2013; in revised form: 3 September 2013 / Accepted: 5 September 2013 / Published: 12 September 2013
(This article belongs to the Section Sensor Networks)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: A crucial aspect in rowing is having a synchronized, highly-efficient stroke. This is very difficult to obtain, due to the many interacting factors that each rower of the crew must perceive. Having a system that monitors and represents the crew coordination would be of great help to the coach during training sessions. In the literature, some methods already employ wireless sensors for capturing motion patterns that affect rowing performance. A challenging problem is to support the coach’s decisions at his same level of knowledge, using a limited number of sensors and avoiding the complexity of the biomechanical analysis of human movements. In this paper, we present a multi-agent information-processing system for on-water measuring of both the overall crew asynchrony and the individual rower asynchrony towards the crew. More specifically, in the system, the first level of processing is managed by marking agents, which release marks in a sensing space, according to the rowers’ motion. The accumulation of marks enables a stigmergic cooperation mechanism, generating collective marks, i.e., short-term memory structures in the sensing space. At the second level of processing, information provided by marks is observed by similarity agents, which associate a similarity degree with respect to optimal marks. Finally, the third level is managed by granulation agents, which extract asynchrony indicators for different purposes. The effectiveness of the system has been experimented on real-world scenarios. The study includes the problem statement and its characterization in the literature, as well as the proposed solving approach and initial experimental setting.
Keywords: accelerometer; emergent approach; multi-agent systems; sports performance analysis; stigmergy; wireless motion sensing
PDF Full-text Download PDF Full-Text [5646 KB, uploaded 21 June 2014 09:07 CEST]

Export to BibTeX |

MDPI and ACS Style

Avvenuti, M.; Cesarini, D.; Cimino, M.G.C.A. MARS, a Multi-Agent System for Assessing Rowers’ Coordination via Motion-Based Stigmergy. Sensors 2013, 13, 12218-12243.

AMA Style

Avvenuti M, Cesarini D, Cimino MGCA. MARS, a Multi-Agent System for Assessing Rowers’ Coordination via Motion-Based Stigmergy. Sensors. 2013; 13(9):12218-12243.

Chicago/Turabian Style

Avvenuti, Marco; Cesarini, Daniel; Cimino, Mario G.C.A. 2013. "MARS, a Multi-Agent System for Assessing Rowers’ Coordination via Motion-Based Stigmergy." Sensors 13, no. 9: 12218-12243.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert