Forearm amputees' views of prosthesis use and sensory feedback

Wijk, Ulrika; Carlsson, Ingemar

doi:10.1016/j.jht.2015.01.013

Cited by 99 publications

(101 citation statements)

References 57 publications

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“…It has been shown that, by tuning the modulus, viscoelasticity and temperature of a skin-like coating, the touch from a prosthetic hand can be indistinguishable from a real hand 26 . Restoring both sensory feedback and the mechanical properties of natural skin may allow patients to comfortably use their devices during intimate interactions (for example, when interacting with children) 7 . Flexible electronics 27,28 allow devices to be bent over curved surfaces such as fingers and provide some additional degrees of movement compared with rigid devices.…”

Section: Mimicking Mechanical Propertiesmentioning

confidence: 99%

Pursuing prosthetic electronic skin

2016

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Skin plays an important role in mediating our interactions with the world. Recreating the properties of skin using electronic devices could have profound implications for prosthetics and medicine. The pursuit of artificial skin has inspired innovations in materials to imitate skin's unique characteristics, including mechanical durability and stretchability, biodegradability, and the ability to measure a diversity of complex sensations over large areas. New materials and fabrication strategies are being developed to make mechanically compliant and multifunctional skin-like electronics, and improve brain/machine interfaces that enable transmission of the skin's signals into the body. This Review will cover materials and devices designed for mimicking the skin's ability to sense and generate biomimetic signals.

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Section: Mimicking Mechanical Propertiesmentioning

confidence: 99%

Pursuing prosthetic electronic skin

2016

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“…Fourth, while the haptic clothing is a personal device, using this in social settings and combining it with other sensors (e.g., a magnetic compass in Nagel et al, 2005) creates countless possibilities for different social interaction scenarios, from passive, like in a new type of cinema, to active, as in a participatory theater. Finally, our work contributes to the fields of teleoperation and embodying new bodies and objects (e.g., Hohwy and Paton, 2010), expanding the notion of one's current physical body when having a subjective feeling of being "robotic" or "fluid" as in Kurihara et al (2013), and also to limb prosthetics (Wijk and Carlsson, 2015), where full body haptic metaphors may help as a novel sensory substitution strategy.…”

Section: Discussionmentioning

confidence: 99%

Altering One's Body-Perception Through E-Textiles and Haptic Metaphors

2020

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Technologies change rapidly our perception of reality, moving from augmented to virtual to magical. While e-textiles are a key component in exergame or space suits, the transformative potential of the internal side of garments to create embodied experiences still remains largely unexplored. This paper is the result from an art-science collaborative project that combines recent neuroscience findings, body-centered design principles and 2D vibrotactile array-based fabrics to alter one's body perception. We describe an iterative design process intertwined with two user studies on the effects on bodyperceptions and emotional responses of various vibration patterns within textile that were designed as spatial haptic metaphors. Our results show potential in considering materials (e.g., rocks) as sensations to design for body perceptions (e.g., being heavy, strong) and emotional responses. We discuss these results in terms of sensory effects on body perception and synergetic impact to research on embodiment in virtual environments, human-computer interaction, and e-textile design. The work brings a new perspective to the sensorial design of embodied experiences which is based on "material perception" and haptic metaphors, and highlights potential opportunities opened by haptic clothing to change body-perception.

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“…3) Prosthetics: In recent years, both the upper-extremity and lower-extremity have received a great attention from researchers [42]. Despite, the success of prosthesis, Kairu et al [42] and [43] noted that most common commercial prostheses can not support users in performing daily living activities such as grasping and holding onto an object without slip, due to either the absence of perceptual tactile feedback or no tactile feedback at all. It was recorded that by measuring the characteristics of touch, tactile sensing can improve the ability of amputee to achieve a stable grasp and prevent slip [44], [45].…”

Section: A Collaborative Robotic Armsmentioning

confidence: 99%

Physical Human–Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators

Ogenyi

Liu

Yang

et al. 2021

IEEE Trans. Cybern.

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This paper presents a state-of-the-art survey on robotic systems, sensors, actuators and collaborative strategies for Physical Human-Robot Collaboration (pHRC). The paper starts with an overview of some robotic systems with cuttingedge technologies (sensors and actuators) suitable for pHRC operations and the intelligent assist devices employed in pHRC. Sensors being among the essential components to establish communication between a human and a robotic system are surveyed. The sensor supplies the signal needed to drive the robotic actuators. The survey reveals that the design of new generation collaborative robots and other intelligent robotic systems has paved the way for sophisticated learning techniques and control algorithms to be deployed in pHRC. Furthermore, it revealed relevant components needed to be considered for effective pHRC to be accomplished. Finally, a discussion of the major advances made, some research directions, and future challenges are presented.

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Forearm amputees' views of prosthesis use and sensory feedback

Cited by 99 publications

References 57 publications

Pursuing prosthetic electronic skin

Pursuing prosthetic electronic skin

Altering One's Body-Perception Through E-Textiles and Haptic Metaphors

Physical Human–Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators

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