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Development of a rhythmic auditory biofeedback system to assist improving the kinetic chain for bat swing performance

Baseball bat swing performanceThe purpose of this study was to devise a system that allows users to develop their kinetic chains and increase swing speeds using auditory cues, and to verify the proposed system’s effect in the bat swing performance of novices. Onishi et al. developed a system that output auditory cues (i.e., sound) linked with body motion. Using this proposed system, participants could increase swing speed and acquire a better kinetic chain in upper body motion.

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We are pleased to announce that ROBOMECH Journal has been accepted for inclusion in Scopus. View the full journal indexing information here.

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About the Editor-in-chief

tf (1)Toshio Fukuda, Professor Emeritus at Nagoya University, Japan, Professor at Meijo University and Beijing Institute of Technology, is an internationally recognised leader in the field of robotics. He obtained a Bachelor in engineering from Waseda University and received Master’s and Doctorate degrees from Tokyo University in 1973 and 1977, respectively. His pioneering work on micro and nano robotics technology has seen great commercial use and he has been extremely active the Robotics community for the past 4 decades. His many achievements include holding the position of President of the IEEE Robotics and Automation Society (1998-1999) and founding the IEEE International Conference of Intelligent Robots and Systems (IROS) in 1988.

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Aims and Scope

ROBOMECH Journal focuses on advanced technologies and practical applications in the field of Robotics and Mechatronics.

The scope of the journal includes but is not limited to:
1. Modeling and design
2. System integration
3. Actuators and sensors
4. Intelligent control
5. Robotics
6. Manufacturing
7. Motion control
8. Vibration and noise control
9. Micro/nano devices and optoelectronics systems
10. Automotive systems
11. Applications for extreme and/or hazardous environments
12. Other applications

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2017 Journal Metrics

  • Speed
    80.6 days from submission to first decision
    185.5 days from submission to acceptance
    13.8 days from acceptance to publication

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    55,528 downloads
    78 Altmetric Mentions

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