TY - GEN
T1 - Operation Identification by Shared Tactile Perception Based on Skin Vibration
AU - Katagiri, Takumi
AU - Tanaka, Yoshihiro
AU - Sugiura, Shimpei
AU - Minamizawa, Kouta
AU - Watanabe, Junji
AU - Prattichizzo, Domenico
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Tactile sensation contributes to sensory-motor control and facilitates skillful manipulation of objects. If the tactile sensation can be shared between two partners, the state of each partner can be partially observed by the other, and the possibilities for cooperative work may be expanded. Recently, examples of utilizing tactile sensation in human-robot cooperative work have been proposed. For cooperative work between people, it is necessary to investigate the basic ability of humans to identify other person's motions and operations by tactile presentation. To avoid hindering work performed with the hands and fingertips, the sensation must be presented elsewhere. This study investigates the possibility of identifying other person's tool operations by presenting tactile information induced on his/her finger with a wearable vibrator on the arm. A wearable skin vibration sensor was employed to acquire tactile information during an experiment in which five different tool operations were tested. This sensor measures skin vibration while directly touching the target. We proposed a non-linear signal processing function to adjust the intensity of the skin vibration to within the range of human sensitivity for tactile presentation. We compared vibrotactile stimulation between the non-linear and linear corrections, and then conducted experiments on identifying operations. The results showed that the non-linear correction increased small signals and enhanced the variance of large signals, and that operations were significantly identified by tactile presentation to the arm.
AB - Tactile sensation contributes to sensory-motor control and facilitates skillful manipulation of objects. If the tactile sensation can be shared between two partners, the state of each partner can be partially observed by the other, and the possibilities for cooperative work may be expanded. Recently, examples of utilizing tactile sensation in human-robot cooperative work have been proposed. For cooperative work between people, it is necessary to investigate the basic ability of humans to identify other person's motions and operations by tactile presentation. To avoid hindering work performed with the hands and fingertips, the sensation must be presented elsewhere. This study investigates the possibility of identifying other person's tool operations by presenting tactile information induced on his/her finger with a wearable vibrator on the arm. A wearable skin vibration sensor was employed to acquire tactile information during an experiment in which five different tool operations were tested. This sensor measures skin vibration while directly touching the target. We proposed a non-linear signal processing function to adjust the intensity of the skin vibration to within the range of human sensitivity for tactile presentation. We compared vibrotactile stimulation between the non-linear and linear corrections, and then conducted experiments on identifying operations. The results showed that the non-linear correction increased small signals and enhanced the variance of large signals, and that operations were significantly identified by tactile presentation to the arm.
UR - http://www.scopus.com/inward/record.url?scp=85095728049&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85095728049&partnerID=8YFLogxK
U2 - 10.1109/RO-MAN47096.2020.9223603
DO - 10.1109/RO-MAN47096.2020.9223603
M3 - Conference contribution
AN - SCOPUS:85095728049
T3 - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
SP - 885
EP - 890
BT - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
Y2 - 31 August 2020 through 4 September 2020
ER -