Analysis of Human Hand Kinematics: Forearm Pronation and Supination

Rahman, Hamidah Abdul; Fai, Yeong Che; Ming, Eileen Su Lee

doi:10.1166/jmihi.2014.1239

Cited by 12 publications

(5 citation statements)

References 12 publications

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“…Two females and 22 males participated in the experimental trials. Based on data from a previous study that measured the range of motion and velocity of forearm supination, females supinated their left and right forearms 6-8 per cent faster than males, and therfore the results may not have accurately reflected biomechanical differences between males and females (Rahman et al, 2014). Because the the inclusion of more female participants may decrease the median time to perform supinations, and consequently the total time to steer from a lognitudinal trajectory to the turning circle may also decrease, it was expected that the median lateral error of the sEMG-based HMI would decrease, if not remain approximately the same.…”

Section: Limitationsmentioning

confidence: 99%

A surface electromyography controlled steering assistance interface

Nacpil

Zheng

Kaizuka

et al. 2019

JICV

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Purpose Two-handed automobile steering at low vehicle speeds may lead to reduced steering ability at large steering wheel angles and shoulder injury at high steering wheel rates (SWRs). As a first step toward solving these problems, this study aims, firstly, to design a surface electromyography (sEMG) controlled steering assistance interface that enables hands-free steering wheel rotation and, secondly, to validate the effect of this rotation on path-following accuracy. Design/methodology/approach A total of 24 drivers used biceps brachii sEMG signals to control the steering assistance interface at a maximized SWR in three driving simulator scenarios: U-turn, 90º turn and 45º turn. For comparison, the scenarios were repeated with a slower SWR and a game steering wheel in place of the steering assistance interface. The path-following accuracy of the steering assistance interface would be validated if it was at least comparable to that of the game steering wheel. Findings Overall, the steering assistance interface with a maximized SWR was comparable to a game steering wheel. For the U-turn, 90º turn and 45º turn, the sEMG-based human–machine interface (HMI) had median lateral errors of 0.55, 0.3 and 0.2 m, respectively, whereas the game steering wheel, respectively, had median lateral errors of 0.7, 0.4 and 0.3 m. The higher accuracy of the sEMG-based HMI was statistically significant in the case of the U-turn. Originality/value Although production automobiles do not use sEMG-based HMIs, and few studies have proposed sEMG controlled steering, the results of the current study warrant further development of a sEMG-based HMI for an actual automobile.

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Section: Limitationsmentioning

confidence: 99%

A surface electromyography controlled steering assistance interface

Nacpil

Zheng

Kaizuka

et al. 2019

JICV

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“…To summarize, the robotic device needed to be suitable for decentralized usage, motivational, easy to set up, portable, affordable and compact as listed in that Table I. Forearm and wrist training are targeted in this project is because these two are the important movements for human activities daily living [9]. The range of movement and stiffness for each joint is identified and listed in Table II [10], [11], before the robot development.…”

Section: System Requirementmentioning

confidence: 99%

Development of CR2-Haptic: A compact and portable rehabilitation robot for wrist and forearm training

Khor

Chin

Hisyam

et al. 2014

2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES)

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Stroke has now become the leading cause of severe disability. Rehabilitation robots are gradually becoming popular for stroke rehabilitation to improve motor recovery, as robotic technology can assist, enhance, and further quantify rehabilitation training for stroke patients. However, most of the available rehabilitation robots are complex and involve multiple degrees-of-freedom (DOFs) causing it to be very expensive and huge in size. Rehabilitation robots should be useful but also need to be affordable and portable enabling more patients to afford and train independently at home. This paper presents a development of an affordable, portable and compact rehabilitation robot that implements different rehabilitation strategies for stroke patient to train forearm and wrist movement in an enhanced virtual reality environment with haptic feedback.

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“…A study developed by [13] and later revisited by [14] evaluated that most of the activities of daily living (ADL's) can be performed with a range of motion between -50 o and 50 o measured from the neutral position. Also, studies from [15,16] show that the angular velocities reach maximum values at 400 o /s (7 rad/s) within eating and drinking tasks. These ranges for the ADL`s are extremely important, while for the lower limb the range of motion and velocity analysis usually focus on the gait, for the upper limb a huge variety of different movements must be analyzed.…”

Section: Biomechanics Of the Forearmmentioning

confidence: 99%

Design of a Cable-Driven Actuator for Pronation and Supination of the Forearm to Integrate an Active Arm Orthosis

Dias

Andrade

2020

The 1st International Electronic Conference on Actuator Technology: Materials, Devices and Applications

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The pronation/supination of the forearm are important movements to properly accomplish the activities of daily living. While several exoskeletons have been proposed for the rehabilitation of the arm, few of them have actively implemented the movements of pronation/supination. Often, the addition of this degree of freedom to the mechanism results in a bulky and heavy structure. Consequently, the overall exoskeleton is too big for a wearable solution. This paper proposes a digital prototype and kinematic evaluation of a cable-driven orthosis for pronation/supination movement assistance. The actuator is based on an open ring (semi -circle) to be attached to the forearm, while a stationary guide drives the ring into a rotary movement. By considering anthropomorphic data in the design stage it is possible to develop a rigid, compact, and high power to weight ratio solution for the actuator responsible for pronation and supination. The proposed actuator can achieve the full range of motion for the activities of dail y living and 83% of the rotation of the forearm total range of motion with a total mass of only 150 grams .

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Analysis of Human Hand Kinematics: Forearm Pronation and Supination

Cited by 12 publications

References 12 publications

A surface electromyography controlled steering assistance interface

A surface electromyography controlled steering assistance interface

Development of CR2-Haptic: A compact and portable rehabilitation robot for wrist and forearm training

Design of a Cable-Driven Actuator for Pronation and Supination of the Forearm to Integrate an Active Arm Orthosis

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