Results 171 to 180 of about 9,029 (261)

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao   +5 more
wiley   +1 more source

Dropout and completion in iCBT for university students: Insights from a thematic analysis. [PDF]

open access: yesInternet Interv
Koelen JA   +6 more
europepmc   +1 more source

Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam   +6 more
wiley   +1 more source

The role of intelligence in PTSD treatment outcomes: evidence from a multicenter TF-CBT trial with youth. [PDF]

open access: yesChild Adolesc Psychiatry Ment Health
Berardi S   +12 more
europepmc   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang   +4 more
wiley   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

open access: yesAdvanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez   +3 more
wiley   +1 more source

Using academic admissions data to predict PA training attrition and academic difficulties: a survival analysis approach. [PDF]

open access: yesMed Educ Online
Waynick J   +9 more
europepmc   +1 more source

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