Results 121 to 130 of about 216,540 (363)

Ultralight Soft Wearable Haptic Interface with Shear‐Normal‐Vibration Feedback

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes soft wearable haptic interface using pneumatic actuators and origami pumps. This interface can generate multiple sensations such as touching, slipping, and vibrating. To show performance and wearability of this interface, virtual reality is connected with the interface, and user tests are conducted.
Jiyong Min   +3 more
wiley   +1 more source

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi   +7 more
wiley   +1 more source

Microendovascular Neural Recording from Cortical and Deep Vessels with High Precision and Minimal Invasiveness

open access: yesAdvanced Intelligent Systems, EarlyView.
Intravascular electroencephalography (ivEEG) using micro‐intravascular electrodes was developed. Cortical‐vein ivEEG showed a higher signal‐to‐noise ratio and finer spatial resolution of somatosensory evoked potentials (SEPs) than superior sagittal sinus ivEEG, and deep‐vein ivEEG captured clear visual evoked potentials.
Takamitsu Iwata   +15 more
wiley   +1 more source

Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction

open access: yesAdvanced Intelligent Systems, EarlyView.
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung   +3 more
wiley   +1 more source

sEMG‐Based Explainable Neural Networks Using Transfer Learning for Intersubject Finger‐Joint‐Angle Estimation

open access: yesAdvanced Intelligent Systems, EarlyView.
Schematic of the proposed method. A K‐nearest‐neighbors clustering‐based pretraining strategy was adopted to ensure similarity between the data used for pretraining and that of a new user. Besides, the proposed method pioneeringly utilized an attention mechanism to learn the relationship between muscles and hand movements for finger‐joint‐angle ...
Zhouping Chen   +3 more
wiley   +1 more source

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