Results 311 to 320 of about 1,393,459 (386)

Ultrasensitive Ultrasoft Buckled Crack‐Based Sensor for Respiration Measurement and Enhanced Human–Machine Interface

open access: yesAdvanced Intelligent Systems, EarlyView.
The Buckled, Ultrasoft, Crack‐based, Large strain, EpiDermal (BUCKLED) sensor is a flexible, ultrasensitive wearable strain sensor designed to precisely measure subtle skin deformations. By utilizing a buckled structure to enhance compliance integrating crack‐based sensing mechanisms, it improves accuracy in applications like respiratory monitoring ...
Jingoo Lee   +9 more
wiley   +1 more source

A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper proposes an innovative shared control method that can handle multiple objectives task by integrating various types of controllers. It not only takes into account the priorities among the objectives but also allows for the flexible addition or removal of objective controllers.
Xilin Xiao   +7 more
wiley   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

open access: yesAdvanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang   +5 more
wiley   +1 more source

Validation of the English Severe Respiratory Insufficiency Questionnaire

open access: yesEuropean Respiratory Journal, 2011
D. Ghosh   +3 more
semanticscholar   +1 more source

An Integrated and Flexible Humidity Sensor for Noncontact Handwriting Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
A noncontact handwriting recognition system is fabricated by directly integrating a 4 × 4 flexible humidity sensing array and a designed flexible sampling circuit. Assisted with a CNN model, the handwriting recognition system can realize the recognition of handwriting digits 1–9 with an average accuracy of 98.67%.
Yu Xiao, Jingjing Yao, Shujuan Zhu
wiley   +1 more source

Home - About - Disclaimer - Privacy