Building multi-modal sensory feedback pathways for SRL with the aim of sensory enhancement via BCI

Wang, Wenjie; Liu, Yuan; Li, Zhicai; Wang, Zhuang; He, Feng; Ming, Dong; Yang, Dapeng

doi:10.1109/robio49542.2019.8961383

Cited by 12 publications

(13 citation statements)

References 24 publications

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“…Numerous experiments have highlighted the importance of adding simple sensory and proprioceptive "feedbacks" following the action performed via the BCI, to increase systems' accuracy and control (e.g., Omar et al, 2010;Suminski et al, 2010;Ramos-Murguialday et al, 2012;Tidoni et al, 2014), or improve users' experience (e.g., Wang et al, 2019). Such findings fit the ideomotor view stating that voluntary action is primarily performed to produce some anticipated or desired effects in the environment (e.g., Le Bars et al, 2019).…”

Section: Toward An Ideomotor Brain-computer Interface Preliminary Experimental Cuesmentioning

confidence: 91%

“…Notably, one might wonder whether it is even possible to qualify BCI-mediated actions as real human actions, given the potential reduction of sense of agency or responsibility it might cause in users (see Limerick et al, 2014;Rainey et al, 2020). Moreover, it is worth noting that most of non-invasive BCI paradigms aim to enable "acting with thoughts" but do not necessarily respect fundamental aspects of neuroscientific models of human actions, especially regarding the perceptual counterpart of action, which remains barely considered in BCI-mediated actions (see Wang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Theoretical Perspective on an Ideomotor Brain-Computer Interface: Toward a Naturalistic and Non-invasive Brain-Computer Interface Paradigm Based on Action-Effect Representation

Bars

Chokron

Balp

et al. 2021

Front. Hum. Neurosci.

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Recent years have been marked by the fulgurant expansion of non-invasive Brain-Computer Interface (BCI) devices and applications in various contexts (medical, industrial etc.). This technology allows agents “to directly act with thoughts,” bypassing the peripheral motor system. Interestingly, it is worth noting that typical non-invasive BCI paradigms remain distant from neuroscientific models of human voluntary action. Notably, bidirectional links between action and perception are constantly ignored in BCI experiments. In the current perspective article, we proposed an innovative BCI paradigm that is directly inspired by the ideomotor principle, which postulates that voluntary actions are driven by the anticipated representation of forthcoming perceptual effects. We believe that (1) adapting BCI paradigms could allow simple action-effect bindings and consequently action-effect predictions and (2) using neural underpinnings of those action-effect predictions as features of interest in AI methods, could lead to more accurate and naturalistic BCI-mediated actions.

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Section: Toward An Ideomotor Brain-computer Interface Preliminary Experimental Cuesmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Theoretical Perspective on an Ideomotor Brain-Computer Interface: Toward a Naturalistic and Non-invasive Brain-Computer Interface Paradigm Based on Action-Effect Representation

Bars

Chokron

Balp

et al. 2021

Front. Hum. Neurosci.

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“…In natural limb proprioception, the sense of presence and kinematics/dynamics of body segments are known to play a central role in movement planning and execution [84]. Possible non-invasive feedback modalities to create similar artificial SE proprioception include vibrotactile motors [85], [86], electrotactile arrays [87], [88] or direct mechanical stimulation through pressure or skin stretch [89], [90]. Tactile feedback has been provided for several supernumerary hands using a direct mapping of force to haptic sensation [17], [78], [91].…”

Section: Sensory Feedbackmentioning

confidence: 99%

“…Tactile feedback has been provided for several supernumerary hands using a direct mapping of force to haptic sensation [17], [78], [91]. These systems have considered one or two DoF force feedback and only a few studies have considered the effect of sensory feedback to the augmentation [78], [86], [88].…”

Section: Sensory Feedbackmentioning

confidence: 99%

Human movement augmentation and how to make it a reality

Eden¹,

Bräcklein²,

Pereda³

et al. 2021

Preprint

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Augmenting the body with artificial limbs controlled concurrently to the natural limbs has long appeared in science fiction, but recent technological and neuroscientific advances have begun to make this vision possible. By allowing individuals to achieve otherwise impossible actions, this movement augmentation could revolutionize medical and industrial applications and profoundly change the way humans interact with their environment. Here, we construct a movement augmentation taxonomy through what is augmented and how it is achieved. With this framework, we analyze augmentation that extends the number of degrees-of-freedom, discuss critical features of effective augmentation such as physiological control signals, sensory feedback and learning, and propose a vision for the field.

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“…Although a tactor can provide the required bandwidth for information transfer via frequency modulation, electrotactile stimulation allows independent modulation of both intensity and frequency simultaneously. Different information coding can be achieved with satisfactory discrimination accuracy by modulating the following stimulation parameters, independently or combined: duration, number of active channels, site, pulse width, frequency, and amplitude 7,27 . These advantages were already successfully exploited for restoration of proprioceptive and force feedback from myoelectric prothesis 21,22,28,29 .…”

Section: Introductionmentioning

confidence: 99%

Design of multi‐pad electrotactile system envisioned as a feedback channel for supernumerary robotic limbs

Boljanić

Isaković²,

Malešević³

et al. 2022

Artificial Organs

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Background Providing real‐time haptic feedback is an important, but still not sufficiently explored aspect of the use of supernumerary robotic limbs (SRLs). We present a multi‐pad electrode for conveying multi‐modal proprioceptive and sensory information from SRL to the user's thigh and propose a method for stimuli calibration. Methods Within two pilot tests, we investigated return electrode configuration and active electrode discrimination in three healthy subjects to select the appropriate electrode pad topology. Based on the obtained results and anthropometric data from the literature, the electrode was designed to have three branches of 10 pads and two additional pads that can be displaced over/under the electrode branches. The electrode was designed to be connected to the stimulator that allows full multiplexing so that specific branches can serve as a common return electrode. To define the procedure for application of this system, the sensation, localization, and discomfort thresholds applicable for the novel electrode were determined and analyzed in 10 subjects. Results The results showed no overlaps between the three thresholds for individual pads, with significantly different average values, suggesting that the selected electrode positioning and design provide a good active range of useful current amplitude. The results of the subsequent analysis suggested that the stimuli intensity level of 200% of the sensation threshold is the most probable value of the localization threshold. Furthermore, this level ensures a low chance (i.e., 0.7%) of reaching the discomfort. Conclusions We believe that envisioned electrotactile system could serve as a high bandwidth feedback channel that can be easily set up to provide proprioceptive and sensory feedback from supernumerary limbs.

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Building multi-modal sensory feedback pathways for SRL with the aim of sensory enhancement via BCI

Cited by 12 publications

References 24 publications

Theoretical Perspective on an Ideomotor Brain-Computer Interface: Toward a Naturalistic and Non-invasive Brain-Computer Interface Paradigm Based on Action-Effect Representation

Theoretical Perspective on an Ideomotor Brain-Computer Interface: Toward a Naturalistic and Non-invasive Brain-Computer Interface Paradigm Based on Action-Effect Representation

Human movement augmentation and how to make it a reality

Design of multi‐pad electrotactile system envisioned as a feedback channel for supernumerary robotic limbs

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