Development of a Touch Panel Interface that Provides Tactile Feedback Depending on the Surroundings

2014 ◽  
pp. 259-263
Author(s):  
Hitoshi Tamura ◽  
Yasushi Kambayashi
Keyword(s):  
Tactile Feedback ◽  
Touch Panel

scholarly journals 1D4-1　Study of the implementability of tactile feedback while operating touch panel device

2016 ◽  
Vol 52 (Supplement) ◽  
pp. S178-S179
Author(s):  
Karin ISHITSU ◽  
Masayoshi KUBO
Keyword(s):  
Tactile Feedback ◽  
Touch Panel

Human Cerebral Potentials During Motor Training Under Different Forms of Sensory Feedback

1999 ◽  
Vol 13 (4) ◽  
pp. 234-244
Author(s):  
Uwe Niederberger ◽  
Wolf-Dieter Gerber
Keyword(s):  
Healthy Subjects ◽  
Sensory Feedback ◽  
Motor Task ◽  
Tactile Feedback ◽  
Proprioceptive Feedback ◽  
Motor Training ◽  
Feedback Group ◽  
Emg Feedback ◽  
The Right ◽  
Training Success

Abstract In two experiments with four and two groups of healthy subjects, a novel motor task, the voluntary abduction of the right big toe, was trained. This task cannot usually be performed without training and is therefore ideal for the study of elementary motor learning. A systematic variation of proprioceptive, tactile, visual, and EMG feedback was used. In addition to peripheral measurements such as the voluntary range of motion and EMG output during training, a three-channel EEG was recorded over Cz, C3, and C4. The movement-related brain potential during distinct periods of the training was analyzed as a central nervous parameter of the ongoing learning process. In experiment I, we randomized four groups of 12 subjects each (group P: proprioceptive feedback; group PT: proprioceptive and tactile feedback; group PTV: proprioceptive, tactile, and visual feedback; group PTEMG: proprioceptive, tactile, and EMG feedback). Best training results were reported from the PTEMG and PTV groups. The movement-preceding cortical activity, in the form of the amplitude of the readiness potential at the time of EMG onset, was greatest in these two groups. Results of experiment II revealed a similar effect, with a greater training success and a higher electrocortical activation under additional EMG feedback compared to proprioceptive feedback alone. Sensory EMG feedback as evaluated by peripheral and central nervous measurements appears to be useful in motor training and neuromuscular re-education.

Investigation of a Capacitor Array of a Composite Capacitive Touch Panel

2018 ◽  
Vol 47 (5) ◽  
pp. 22-29
Author(s):  
T. Terent’ev ◽  
◽  
V. Shakhnov ◽  
A. Vlasov ◽  
A. Krivoshein ◽  
...  
Keyword(s):  
Touch Panel ◽  
Capacitor Array

A touch screen interface design with tactile feedback for practical applications

2013 ◽  
Vol 3 (1) ◽  
pp. 8 ◽  
Author(s):  
Hiroaki Nishino ◽  
Ryotaro Goto ◽  
Yuki Fukakusa ◽  
Jiaqing Lin ◽  
Tsuneo Kagawa ◽  
...  
Keyword(s):  
Interface Design ◽  
Touch Screen ◽  
Tactile Feedback ◽  
Practical Applications

scholarly journals Changes in Sensorimotor Cortical Activation in Children Using Prostheses and Prosthetic Simulators

2021 ◽  
Vol 11 (8) ◽  
pp. 991
Author(s):  
Christopher Copeland ◽  
Mukul Mukherjee ◽  
Yingying Wang ◽  
Kaitlin Fraser ◽  
Jorge M. Zuniga
Keyword(s):  
Near Infrared ◽  
Primary Motor Cortex ◽  
Tactile Feedback ◽  
Cortical Activation ◽  
Typically Developing ◽  
Neural Responses ◽  
Motor Tasks ◽  
Functional Near Infrared Spectroscopy ◽  
Limb Reduction ◽  
Motor Dexterity

This study aimed to examine the neural responses of children using prostheses and prosthetic simulators to better elucidate the emulation abilities of the simulators. We utilized functional near-infrared spectroscopy (fNIRS) to evaluate the neural response in five children with a congenital upper limb reduction (ULR) using a body-powered prosthesis to complete a 60 s gross motor dexterity task. The ULR group was matched with five typically developing children (TD) using their non-preferred hand and a prosthetic simulator on the same hand. The ULR group had lower activation within the primary motor cortex (M1) and supplementary motor area (SMA) compared to the TD group, but nonsignificant differences in the primary somatosensory area (S1). Compared to using their non-preferred hand, the TD group exhibited significantly higher action in S1 when using the simulator, but nonsignificant differences in M1 and SMA. The non-significant differences in S1 activation between groups and the increased activation evoked by the simulator’s use may suggest rapid changes in feedback prioritization during tool use. We suggest that prosthetic simulators may elicit increased reliance on proprioceptive and tactile feedback during motor tasks. This knowledge may help to develop future prosthesis rehabilitative training or the improvement of tool-based skills.

scholarly journals Multi-Touch Interaction Generation Device by Spatiotemporally Switching Electrodes

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1475
Author(s):  
Masahiro Okamoto ◽  
Kazuya Murao
Keyword(s):  
High Speed ◽  
High Accuracy ◽  
Conductive Ink ◽  
Control Board ◽  
Touch Panel ◽  
Electrode Size ◽  
Touch Input ◽  
Touch Interaction ◽  
Multiple Electrodes ◽  
Touch Panels

With the spread of devices equipped with touch panels, such as smartphones, tablets, and laptops, the opportunity for users to perform touch interaction has increased. In this paper, we constructed a device that generates multi-touch interactions to realize high-speed, continuous, or hands-free touch input on a touch panel. The proposed device consists of an electrode sheet printed with multiple electrodes using conductive ink and a voltage control board, and generates eight multi-touch interactions: tap, double-tap, long-press, press-and-tap, swipe, pinch-in, pinch-out, and rotation, by changing the capacitance of the touch panel in time and space. In preliminary experiments, we investigated the appropriate electrode size and spacing for generating multi-touch interactions, and then implemented the device. From the evaluation experiments, it was confirmed that the proposed device can generate multi-touch interactions with high accuracy. As a result, tap, press-and-tap, swipe, pinch-in, pinch-out, and rotation can be generated with a success rate of 100%. It was confirmed that all the multi-touch interactions evaluated by the proposed device could be generated with high accuracy and acceptable speed.

Feedback Modalities in Brain–Computer Interfaces: A Systematic Review

2020 ◽  
Vol 64 (1) ◽  
pp. 1186-1190
Author(s):  
Wakana Ishihara ◽  
Karen Moxon ◽  
Sheryl Ehrman ◽  
Mark Yarborough ◽  
Tina L. Panontin ◽  
...  
Keyword(s):  
Systematic Review ◽  
Visual Feedback ◽  
Auditory Feedback ◽  
Brain Computer Interface ◽  
Tactile Feedback ◽  
Proprioceptive Feedback ◽  
Computer Interface ◽  
Computer Interfaces ◽  
Feedback Modalities ◽  
Improving Accuracy

This systematic review addresses the plausibility of using novel feedback modalities for brain–computer interface (BCI) and attempts to identify the best feedback modality on the basis of the effectiveness or learning rate. Out of the chosen studies, it was found that 100% of studies tested visual feedback, 31.6% tested auditory feedback, 57.9% tested tactile feedback, and 21.1% tested proprioceptive feedback. Visual feedback was included in every study design because it was intrinsic to the response of the task (e.g. seeing a cursor move). However, when used alone, it was not very effective at improving accuracy or learning. Proprioceptive feedback was most successful at increasing the effectiveness of motor imagery BCI tasks involving neuroprosthetics. The use of auditory and tactile feedback resulted in mixed results. The limitations of this current study and further study recommendations are discussed.

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