![]() Dynamic elbow flexion force estimation through a muscle twitch model and sEMG in a fatigue condition. Hand function: peripheral and central constraints on performance. ![]() A dynamic model for finger interphalangeal coordination. International Journal of Precision Engineering Manufacturing.īuchner, H. Development of an armband emg module and a pattern recognition algorithm for the 5-finger myoelectric hand prosthesis. International Journal of Precision Engineering Manufacturing, 15(10), 2185–2192. Human shoulder motion extraction using EMG signals. International Journal of Precision Engineering Manufacturing, 19(4), 577–586. Determination of optimal riding positions using muscle co-contraction on upper extremity during manual standing wheelchair propulsion. International Journal of Precision Engineering Manufacturing, 18(7), 1013–1020. Virtual coupling triggering for interaction force reduction of haptic free-motion using surface EMG. Mobile input device type, texting style and screen size influence upper extremity and trapezius muscle activity, and cervical posture while texting. Influence of smartphone use styles on typing performance and biomechanical exposure. Holding a tablet computer with one hand: effect of tablet design features on biomechanics and subjective usability among users with small hands. Pereira, A., Miller, T., Huang, Y.-M., Odell, D., & Rempel, D. International Journal of Industrial Ergonomics, 56, 17–24. A study on the relationships among hand muscles and form factors of large-screen curved mobile devices. Journal of Biomedical Engineering Research, 32(4), 312–318. A comparative evaluation about force and fatigue on thumb according to input type for repetitive use of mobile phone. IEEE Transactions on Robotics Automation, 5(3), 269–279. On grasp choice, grasp models, and the design of hands for manufacturing tasks. Frontiers in Neurorobotics, 12, 1–14.Ĭutkosky, M. Muscle synergy analysis of a hand-grasp dataset: A limited subset of motor modules may underlie a large variety of grasps. Internation Journal of Precision Engineering Manufacturing. ![]() Muscle synergy analysis for stroke during two degrees of freedom reaching task on horizontal plane. Journal of neuroengineering and rehabilitation, 16(1), 1–14. Kinematic synergies of hand grasps: A comprehensive study on a large publicly available dataset. IEEE Transactions on Human-Machine System, 46(1), 66–77. Determining ergonomic smartphone forms with high grip comfort and attractive design. A comparison of muscle activity in using touchscreen smartphone among young people with and without chronic neck-shoulder pain. Effects of smartphone overuse on hand function, pinch strength, and the median nerve. An ergonomics study of thumb movements on smartphone touch screen. International Journal of Industrial Ergonomics, 53, 140–148. Effects of age, thumb length and screen size on thumb movement coverage on smartphone touchscreens. Two-handed grip on a mobile phone affords greater thumb motor performance, decreased variability, and a more extended thumb posture than a one-handed grip. Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation. The obtained results may aid in understanding of grasping behaviors for handheld touchscreen devices in various applications. ![]() In terms of the synergies, the grasp for handheld touchscreen devices showed unique characteristics in terms of muscle and postural synergies compared to other objects. The first two muscle synergies from the EMG data and the first three postural synergies from the kinematic data were found to account for over 60% of the overall grasping. Electromyography (EMG) data were measured on six muscles in the forearm and the hand, and joint angles were measured for 22 joints in the hand. Fourteen healthy subjects performed up to 15 hand grasps, including that with a smartphone. To this end, principal component analysis and latent profile analysis clustering were used for extracting and grouping muscle and postural synergies. In this study, we investigated the grasp types of touchscreen devices and other objects included in an existing grasp taxonomy. However, they were limited to thumb operations and did not consider grasping. Previous studies on such handheld touchscreen devices focused on thumb operations or reach zones by measuring individual muscle or joint angles. Smartphones are currently among the most common handheld devices. ![]()
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