Identification of Sensory Dead Zones in Human Balancing on Balance Board

Molnar, Csenge A.; Várszegi, Balázs; Insperger, Tamás

doi:10.23919/ecc.2019.8795906

Cited by 1 publication

(1 citation statement)

References 31 publications

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“…e acceleration signal value of the preparatory stage is zero, and the information data of the movement process stage and the end stage are meaningless. Only the value of the rotation stage is the valid value [13].…”

Section: Air Skill Movement Extractionmentioning

confidence: 99%

Research on Balance Control of Freestyle Skiing Aerial Skills Based on Ant Colony Algorithm

Wang

Song

2021

Security and Communication Networks

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Aiming at solving the problem of poor performance of airborne freestyle skiing balance, this paper presents the research of airborne freestyle skiing balance control based on ant colony algorithm. On the basis of defining the trajectory division of the airborne balance of freestyle skiing and the track of the center of gravity of the human body, a sensor is used to collect the data of the airborne balance of freestyle skiing, and the moving average, denoising, and normalizing processes are done. The training label of the ant colony algorithm is made by the analog signal matrix, the implementation foreground of the key posture frame of freestyle skiing is extracted, the disturbed area in the key posture frame is removed by the clustering algorithm, and the key posture area of freestyle skiing is obtained. The incremental clustering of the data of the key posture area of freestyle skiing is conducted, the incremental posture data mining model of freestyle skiing is established, the mining parameters are input into the mining model, and the incremental data mining is realized by the ant colony algorithm to complete the research on the control of the airborne balance of freestyle skiing. The results show that the proposed method has good reliability, good convergence, and strong response ability.

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Section: Air Skill Movement Extractionmentioning

confidence: 99%