Tactile sensing system using electro-tactile feedback

Pamungkas, Daniel Sutopo; Ward, Koren

doi:10.1109/icara.2015.7081163

Cited by 14 publications

(18 citation statements)

References 15 publications

(24 reference statements)

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“…The main benefit of this modality is that there are no moving parts and it can deliver a variety of different sensations compared to other forms of feedback [27]. An experiment by Pamungkas et al describes an electrotactile feedback system that conveys surface properties of a remote object to the back of the user's hand [28]. Using amplitude modulated electrotactile feedback to the neck, Arakeri et al developed a system that provides information regarding the grip force and closure of a hand grasping an object [29].…”

Section: Introductionmentioning

confidence: 99%

A pilot study on locomotion training via biomechanical models and a wearable haptic feedback system

Demircan

2020

Robomech J

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Locomotion is a fundamental human skill. Real-time sensing and feedback is a promising strategy for motion training to reconstruct healthy locomotion patterns lost due to aging or disease, and to prevent injuries. In this paper, we present a pilot study on locomotion training via biomechanical modeling and a wearable haptic feedback system. In addition, a novel simulation framework for motion tracking and analysis is introduced. This unified framework, implemented within the Unity environment, is used to analyze subject's baseline and performance characteristics, and to provide real-time haptic feedback during locomotion. The framework incorporates accurate musculoskeletal models derived from OpenSim, closed-form calculations of muscle routing kinematics and kinematic Jacobian matrices, dynamic performance metrics (i.e., muscular effort), human motion reconstruction via inertial measurement unit (IMU) sensors, and real-time visualization of the motion and its dynamics. A pilot study was conducted in which 6 healthy subjects learned to alter running patterns to lower the knee flexion moment (KFM) through haptic feedback. We targeted three gait parameters (trunk lean, cadence, and foot strike) that previous studies had identified as having an influence on reducing the knee flexion moment and associated with increased risk of running injuries. All subjects were able to adopt altered running patterns requiring simultaneous changes to these kinematic parameters and reduced their KFM to 30-85% of their baseline values. The muscular effort during motion training stayed comparable to subjects' baseline. This study shows that biomechanical modeling, together with real-time sensing and wearable haptic feedback can greatly increase the efficiency of motion training.

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Section: Introductionmentioning

confidence: 99%

A pilot study on locomotion training via biomechanical models and a wearable haptic feedback system

Demircan

2020

Robomech J

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“…When the finger slides over the surfaces, the vibration sensor provides wide variation of amplitude and frequency signals, depending on the hardness of the surfaces. These signals will be processed to generate a high wide range of feedback stimulation to the user and enable him to recognize the surface texture [33,34].…”

Section: Fig 1 -Signal Flow's Block Diagram Of Myoelectric Prosthesesmentioning

confidence: 99%

“…The ability of the electro haptic feedback stimulation system to help the amputees to detect the contact pressure and the surface texture at the same operation time was investigated in [34]. For this reason, a lightweight vibration sensor was attached to the artificial sensor in order to sense the texture of the plastic, sand, rice, and matchsticks surfaces.…”

Section: Electro Feedback Displaymentioning

confidence: 99%

A Review of Non-Invasive Haptic Feedback stimulation Techniques for Upper Extremity Prostheses

Nemah

Low

Aldulaymi

et al. 2019

IJIE

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A sense of touch is essential for amputees to reintegrate into their social and work life. The design of the next generation of the prostheses will have the ability to effectively convey the tactile information between the amputee and the artificial limbs. This work reviews non-invasive haptic feedback stimulation techniques to convey the tactile information from the prosthetic hand to the amputee's brain. Various types of actuators that been used to stimulate the patient's residual limb for different types of artificial prostheses in previous studies have been reviewed in terms of functionality, effectiveness, wearability and comfort. The non-invasive hybrid feedback stimulation system was found to be better in terms of the stimulus identification rate of the haptic prostheses' users. It can be conclude that integrating hybrid haptic feedback stimulation system with the upper limb prostheses leads to improving its acceptance among users.

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“…This information is given to the skin of the user. The electro-tactile feedback system is proven to become feedback used for controlling mobile [6], arm robot [7] also fingers [8], information for haptic sensors [9], enhanced virtual game [10]. To examine the potential usage of electrical signal, a multimedia learning system for a motoric finger is established.…”

Section: Introductionmentioning

confidence: 99%