Electrotactile Stimulator for Artificial Proprioception

Nohama, Percy; Lopes, A.V.R.; Cliquet, Alberto

doi:10.1111/j.1525-1594.1995.tb02318.x

Cited by 22 publications

(16 citation statements)

References 20 publications

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“…This method consists of evoking a moving fused image through 3 pairs of electrodes close to each other when the amplitude of the stimulating signal varies temporarily and complementarily. Preliminary experiments (29) showed that the best results were obtained with square pulses of 100 Hz, 1 Hz for modulation frequency, and an elliptical envelope waveform (Fig. 1).…”

Section: Methodsmentioning

confidence: 95%

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Artificial Sensorimotor Integration in Spinal Cord Injured Subjects Through Neuromuscular and Electrotactile Stimulation

Castro

Cliquet

2000

Artificial Organs

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Spinal cord injured (SCI) subjects lack sensorimotor functions. Neuromuscular electrical stimulation (NMES) systems have been used to artificially restore motor functions, but without proprioceptive feedback, SCI subjects can control NMES systems only when they can see their limbs. In a gait restoration system, the subject looks down to the ground to be aware of where his foot is while in a grasping activity, maximum grip strength is employed regardless of the force that is required to perform tasks. This report focuses on artificial sensorimotor integration. Multichannel stimulation was used to restore motor functions while encoded tactile sensation (moving fused phantom images) relating to artificially generated movements was provided by electrotactile stimulation during walking and grasping activities. The results showed that the sensorimotor integration attained yielded both the recognition of artificial grasp force patterns and a technique to be used by paraplegics allowing spatial awareness of their limb while walking.

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Section: Methodsmentioning

confidence: 95%

“…A stimulator based on a tactile phi phenomenon (29,30) was used for artificial proprioception. This method consists of evoking a moving fused image through 3 pairs of electrodes close to each other when the amplitude of the stimulating signal varies temporarily and complementarily.…”

Section: Methodsmentioning

confidence: 99%

Artificial Sensorimotor Integration in Spinal Cord Injured Subjects Through Neuromuscular and Electrotactile Stimulation

Castro

Cliquet

2000

Artificial Organs

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“…When the fingertip was in contact with the trigger, the displacement of the trigger from its resting position and its spring constant determined the contact force between the trigger and the fingertip. The simulated finger contact force was applied to and resisted the finger's simulated motion and can be used to drive haptic feedback devices such as electrotactile or vibrotactile stimulators placed on the skin of the residual limb (K. Kim, Colgate, Santos-Munne, Makhlin, & Peshkin, 2010;Nohama, Lopes, & Cliquet, 1995). Such haptic feedback enables the patient to feel and therefore regulate the level of finger contact force more effectively.…”

Section: Simulation Of Collision Andmentioning

confidence: 99%

Development of a Physics-Based Target Shooting Game to Train Amputee Users of Multijoint Upper Limb Prostheses

Davoodi

Loeb

2012

Presence: Teleoperators and Virtual Environments

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For upper limb amputees, learning the control of myoelectric prostheses is difficult and challenging. Introduction of newer prostheses with multiple degrees of freedom controlled by various neural commands will make such training even more difficult. To produce smooth and human-like movements, the user must learn to produce multiple neural commands with precise amplitude and timing. To aid in training of the amputee users, we have developed a realistic and motivating virtual environment (VE) consisting of a physics-based target shooting game. The users' neural commands such as EMG, cortical neural activity, or voluntary movements of the residual limbs can be used to control the movement of a simulated prosthesis to point and shoot at virtual targets. In addition to the visual, sound, and performance feedback of the resulting movement, the game provides reaction forces in contact points that can be used to drive haptic displays. The timing measurements show that the physics-based simulation and rendering can be executed in real time in readily available PC systems. The target shooting game was developed in musculoskeletal modeling software (MSMS) that has been developed in our laboratory and is freely available for development of similar virtual training applications.

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“…In addition, such sensory substitution techniques can also be used to provide the human with feedback about the advanced robotic perception of the environment (e.g., depth sensors [Plagemann et al, 2010]), that may not be covered by the human sensory system. Examples include vibrotactile, electrocutaneous or mechanical pressure [Shannon, 1976, Nohama et al, 1995, Wang et al, 1995, to convey information about force, proprioception, and/or texture. By the same token, previous works recognized different types of non-invasive sensory substitution techniques, roughly dividing haptic information into low-frequency, e.g.…”

Section: Interfaces For Improved Human Perceptionmentioning

confidence: 99%

Progress and prospects of the human–robot collaboration

et al. 2017

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Recent technological advances in hardware design of the robotic platforms enabled the implementation of various control modalities for improved interactions with humans and unstructured environments. An important application area for the integration of robots with such advanced interaction capabilities is human-robot collaboration. This aspect represents high socio-economic impacts and maintains the sense of purpose of the involved people, as the robots do not completely replace the humans from the work process. The research community's recent surge of interest in this area has been devoted to the implementation of various methodologies to achieve intuitive and seamless humanrobot-environment interactions by incorporating the collaborative partners' superior capabilities, e.g. human's cognitive and robot's physical power generation capacity. In fact, the main purpose of this paper is to review the state-of-theart on intermediate human-robot interfaces (bi-directional), robot control modalities, system stability, benchmarking and relevant use cases, and to extend views on the required future developments in the realm of human-robot collaboration.Arash Ajoudani is with HRI

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Electrotactile Stimulator for Artificial Proprioception

Cited by 22 publications

References 20 publications

Artificial Sensorimotor Integration in Spinal Cord Injured Subjects Through Neuromuscular and Electrotactile Stimulation

Artificial Sensorimotor Integration in Spinal Cord Injured Subjects Through Neuromuscular and Electrotactile Stimulation

Development of a Physics-Based Target Shooting Game to Train Amputee Users of Multijoint Upper Limb Prostheses

Progress and prospects of the human–robot collaboration

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