Results 131 to 140 of about 160,342 (272)
Algorithmically Enhanced Wearable Multimodal Emotion Sensor
This study presents a fully printed, organic wearable sensor for multimodal emotion sensing by noninvasively monitoring physiological indicators like physiological pulse, breathing patterns, and voice signatures. Using LSTM networks and Q‐learning, the system achieves over 91% accuracy, offering a pathway to understanding complex emotions and enhancing
Anand Babu+4 more
wiley +1 more source
Background: Following shoulder surgery, controlled and protected mobilisation for an appropriate duration is crucial for appropriate recovery. However, methods for objective assessment of sling wear and use in everyday living are currently lacking.
Joss Langford+4 more
doaj +1 more source
Deep Learning Methods in Soft Robotics: Architectures and Applications
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda+3 more
wiley +1 more source
Accelerometry-based Energy Expenditure Estimation During Activities of Daily Living: A Comparison Among Different Accelerometer Compositions [PDF]
Physical activity energy expenditure (PAEE) can be measured from breath-by-breath respiratory data, which can serve as a reference. Alternatively, PAEE can be predicted from the body movements, which can be measured and estimated with accelerometers. The body center of mass (COM) acceleration reflects the movements of the whole body and thus serves as ...
arxiv
Symmetrical Paralysis of Shoulder-Girdle Muscles and Extensors of Wrists and Fingers, ? Due to Lead [PDF]
W. Russell Brain
openalex +1 more source
To tackle the challenge of parameter estimation in dynamic human–robot interaction, this research proposes a novel method that integrates a disturbance observer with Kalman filtering. In contrast to conventional techniques, this approach facilitates the simultaneous real‐time estimation of human wrench and object parameters, offering significantly ...
Minghao Bai+5 more
wiley +1 more source
Abstract Whatever the circumstances, the separation of infants from their mothers at birth is a traumatic experience for all concerned. The paper reports on a study designed to improve practice in this highly sensitive area. An analysis of data collected through semi‐structured interviews with 38 mothers who had experienced removal at birth identified ...
Claire Mason+2 more
wiley +1 more source
Implementation of a Biologically Inspired Responsive Joint Attention System for a Social Robot
This work introduces a responsive joint attention system in the social robot Mini, enabling dynamic, human‐like responses based on the user's head, body, and gaze. The system enhances user engagement and robot responsiveness. An experiment reveals significant improvements in social presence when the system is active, validating its effectiveness in ...
Jesús García‐Martínez+4 more
wiley +1 more source