Injury Prevention for Javelin Athletes using Sensors and IoT
G.Elumalai1, R.Ramakrishnan2

1G.Elumalai,Research Scholar, Department of Sports Technology, Tamil Nadu.
2R.Ramakrishnan, Professor, Department of Sports Technology, Tamil Nadu. 

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 2417-2421 | Volume-8 Issue-12, October 2019. | Retrieval Number: L30021081219/2019©BEIESP | DOI: 10.35940/ijitee.L3002.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The main idea of this dissertation was to understand the inter-relationships among Biomechanical parameters which describes for javelin throwing execution and wounds continued by javelin throwers. One of the multi-joint, complex track and field throwing events is javelin throw, which needs great coordination on physiological and movement parameters. Current Javelin throwers mainly concentrate on muscular strength and the control to throw the javelin at long distance with high speed. But, it is essential for both men and women javelin throwers to effectively transfer run-up momentum and throwing arm action into great release speed and to control the release. A Great joint power was seen in spear hurlers were related with developments of the shoulder and elbow which is the system for lance tossing damage. These parameters may be modified to decrease injury risk without affecting the performance to achieve maximum throwing distance. Now a day technological advancements are increasing at a faster face, but the utilization of technologies in various sectors is very low. Considering the possible injuries to could occur, this system has been proposed for the welfare of javelin throwers. This indicates whenever the athletes commit a mistake while throwing the javelin which in-turn prevents further injuries through feedback mechanism using the sensor, IoT and Mobile App. The real-time monitoring of injury parameter and providing feedbacks become tremendous potentials for maximizing athlete’s performances.
Keywords: Injury Parameters, Sensors, IoT, Athletes, and Database
Scope of the Article: IoT