Interfacing robotic tactile sensation with human vibrotactile perception for digit recognition

Khasnobish, Anwesha; Datta, Shreyasi; Sardar, Dwaipayan; Tibarewala, D. N.; Konar, Amit

doi:10.1016/j.robot.2014.12.010

Cited by 7 publications

(3 citation statements)

References 43 publications

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“…While a great number of psychophysical studies have been conducted on the perception of 2D tactile patterns in the 70s and 80s (e.g., Bach-y-Rita et al, 1969; Kirman, 1973; White et al, 1970), the subject then progressively fell out of favor despite some unresolved questions and a recent increase of applied studies considering this form of coding. For example, 2D tactile patterns have lately been investigated for patient monitoring by clinicians (Barralon et al, 2009; Ferris & Sarter, 2011), driving assistance (Kim et al, 2006; Schwalk et al, 2015), military communication (e.g., Chapman et al, 2012; Jones et al, 2009; Riddle & Chapman, 2012), body–machine interfaces (Khasnobish et al, 2015), and the initial objective of sensory substitution for visually or hard of hearing people (e.g., Novich & Eagleman, 2015).…”

Section: Effectiveness Of Display Modesmentioning

confidence: 99%

Spatiotemporal influences on the recognition of two-dimensional vibrotactile patterns on the abdomen.

Faugloire¹,

Lejeune²,

Rivière³

et al. 2022

Journal of Experimental Psychology: Applied

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Spatial and temporal factors are known to highly influence tactile perception, but their role has been largely unexplored in the case of two-dimensional (2D) pattern recognition. We investigated whether recognition is facilitated by the spatial and/or temporal separation of pattern elements, or by conditions known to favor perceptual integration, such as the ones eliciting apparent movement. 2D vibrotactile patterns were presented to the abdomen of novice participants. In Experiment 1, we manipulated the spatial (inter-tactor distance) and temporal (burst duration and inter-burst interval) parameters applied to the tracing mode (sequential activation of pattern elements). In Experiment 2, we compared display modes differing in their level of temporal overlap in the presentation of pattern elements: the static mode (simultaneous activation of pattern elements), the slit-scan mode (pattern revealed line by line), and the tracing mode. The results of both experiments reveal that (a) recognition performance increases with the isolation of pattern elements in space and/or in time, (b) spatial and temporal factors interact in pattern recognition, and (c) conditions leading to apparent movement tend to be associated with lower recognition accuracy. These results further our understanding of tactile perception and provide guidance for the design of future vibrotactile communication systems.

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Section: Effectiveness Of Display Modesmentioning

confidence: 99%

Spatiotemporal influences on the recognition of two-dimensional vibrotactile patterns on the abdomen.

Faugloire¹,

Lejeune²,

Rivière³

et al. 2022

Journal of Experimental Psychology: Applied

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“…As Albert Einstein said: “everything in life is vibration.” Detection and monitoring tiny vibration is of great importance in practical applications . In this study, we have demonstrated the ability of the SCWS sensor to convert mechanical energy changes to electric signals and its interesting application to detect vibration not only from the water but also those from the ground near the water sink.…”

mentioning

confidence: 92%

“…Vibration is derived from object motions, and quite common in our daily lives . Accurate detection and monitoring of vibration play crucial roles in prewarning of infrastructure damage, real‐time health analysis, environment protection, industrial manufacture, human recognition, and military defense . With the rapid development of exploiting marine resources, underwater vibration sensing attracts growing attentions .…”

mentioning

confidence: 99%

Superhydrophobic WS₂‐Nanosheet‐Wrapped Sponges for Underwater Detection of Tiny Vibration

Zhang

et al. 2018

Advanced Science

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Underwater vibration detection is of great importance in personal safety, environmental protection, and military defense. Sealing layers are required in many underwater sensor architectures, leading to limited working‐life and reduced sensitivity. Here, a flexible, superhydrophobic, and conductive tungsten disulfide (WS2) nanosheets‐wrapped sponge (SCWS) is reported for the high‐sensitivity detection of tiny vibration from the water surfaces and from the grounds. When the SCWS is immersed in water, a continuous layer of bubbles forms on its surfaces, providing the sensor with two special abilities. One is sealing‐free feature due to the intrinsic water‐repellent property of SCWS. The other is functioning as a vibration‐sensitive medium to convert mechanical energy into electric signals through susceptible physical deformation of bubbles. Therefore, the SCWS can be used to precisely detect tiny vibration of water waves, and even sense those caused by human footsteps, demonstrating wide applications of this amphibious (water/ground) vibration sensor. Results of this study can initiate the exploration of superhydrophobic materials with elastic and conductive properties for underwater flexible electronic applications.

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Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification

Chowdhury,

Bose,

Ghosh

et al. 2024

Computers in Biology and Medicine

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Interfacing robotic tactile sensation with human vibrotactile perception for digit recognition

Cited by 7 publications

References 43 publications

Spatiotemporal influences on the recognition of two-dimensional vibrotactile patterns on the abdomen.

Spatiotemporal influences on the recognition of two-dimensional vibrotactile patterns on the abdomen.

Superhydrophobic WS₂‐Nanosheet‐Wrapped Sponges for Underwater Detection of Tiny Vibration

Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification

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Interfacing robotic tactile sensation with human vibrotactile perception for digit recognition

Cited by 7 publications

References 43 publications

Spatiotemporal influences on the recognition of two-dimensional vibrotactile patterns on the abdomen.

Spatiotemporal influences on the recognition of two-dimensional vibrotactile patterns on the abdomen.

Superhydrophobic WS2‐Nanosheet‐Wrapped Sponges for Underwater Detection of Tiny Vibration

Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification

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Product

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Superhydrophobic WS₂‐Nanosheet‐Wrapped Sponges for Underwater Detection of Tiny Vibration