scholarly journals Performance analysis of left/right hand movement classification from EEG signal by intelligent algorithms

Author(s):  
Saugat Bhattacharyya ◽  
Anwesha Khasnobish ◽  
Amit Konar ◽  
D. N Tibarewala ◽  
Atulya K. Nagar
Author(s):  
Fei Wang ◽  
Kijun Kim ◽  
Shiguang Wen ◽  
Yuzhong Zhang ◽  
Chengdong Wu

Author(s):  
M. Akif Ziyagil

Technical performance analyses of 45 goalkeepers with respect to handedness and sidedness in Turkish Soccer Super League were monitored by hand notation method during the season of 2015 and 2016. The results of this study showed that there were significant differences in the distribution between goalkeeper’s saved and scored actions in the following variables. These were as follows; catch the ball with two hands, reaching the ball with right hand at higher level, reaching the ball with left hand at higher level, penalty kick to the right side, penalty kick to the left side and reaching to right side in one on one situation. Percentages were not significantly differentiated in other variables between two groups. In conclusion, scoring a goal rates were increasing at the left side of goalkeepers in all positions. This weakness of goalkeepers can be due to higher proportions of right handedness goalkeepers. Keywords: Goalkeeper; sidedness; technical performance analysis


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