A study to investigate contact detection and recognition of the cutting state by means of the acoustic emission (AE) technique in ultra-precision turning is presented. Detection of accurate cutting-edge position was achieved through investigation of the contact limit between the cutting edge and workpiece through use of the AE technique. Moreover, to recognize the cutting state, changes in AE signals instigated by corresponding changes in the cutting condition were monitored. In the contact-detection experiment, contact between the cutting edge and workpiece was detected with a cut depth of 10 nm. Likewise, in the cutting state recognition experiment, AE signal waveforms were observed to demonstrate changes corresponding to changes in the cutting state. These results confirm the feasibility of using the AE technique in cutting state monitoring experiments.
Abstract-With the approach of the 2020 Tokyo Olympics and Paralympics, interest in sports for participants with disabilities has been steadily increasing. For Japan to be successful in the Paralympic sports, scientific and engineering support similar to that provided to other Olympic competitors is necessary. This study develops a multimodal strategy board to improve Japan's competitiveness in goalball, a team sport for visually impaired players. The proposed tool is composed of an image processing system that determines the ball's position and movement, and a strategy board that provides tactical information. This paper describes the method used to determine ball position from game video and the structure of a haptic device incorporated into the strategy board.Index Terms-Disability sports, goalball, image processing system, haptic device, multimodal strategy board.
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