The Influence of Sex Factor on the Modeling of the Human Hand/Arm Interacting With a Teleoperation System

Abstract

This paper addresses the lack of research on the dynamical differences between male and female hand/arm models during interaction with haptic systems. A linear one-degree-of-freedom experiment is designed using the Novint Falcon robot for this aim. To compare the differences, the study analyzes the pole, stiffness, and damping of a first-order two-parameter spring–damper model. The Mann–Whitney U and Fligner-Killeen tests were used to explore the homogeneity in medians and variances of the groups. The results indicate that there is no significant difference in the median values of poles and stiffnesses between male and female models. However, there is a statistically significant difference in the damping coefficient with a 0.05 significance level and a p-value of 0.0361. Regarding variances, the statistical measures do not indicate any significant differences between each sex. However, the p-value of 0.0669 for the stiffness parameter suggests that the stiffness parameters of the aforementioned groups may come from different distributions.

Simple recognition of hand gestures using single-channel EMG signals

“…Our daily lives are now centered around a variety of computing technologies, the dynamic interaction between people and computer systems, such as robots, has gained significant attention and has been the focus of several contemporary studies throughout the past 10 years. 1 As a result, using these systems more naturally increases the comfort of the communication process. To close the communication gaps between people and computers, human-computer interaction (HCI) has developed.…”