Results 141 to 150 of about 12,443 (266)

Comparison of Consumer Smartwatch and Research‐Grade Accelerometer‐Derived Step Counts in Amyotrophic Lateral Sclerosis

open access: yesMuscle &Nerve, Volume 74, Issue 3, Page 580-589, September 2026.
ABSTRACT Introduction/Aims Objective, scalable measures of function are needed in amyotrophic lateral sclerosis (ALS). Research‐grade accelerometers are promising but may be difficult to deploy for prolonged remote monitoring, whereas consumer smartwatches offer a practical alternative. We evaluated the feasibility of long‐term smartwatch monitoring in
Gordon Jewett   +4 more
wiley   +1 more source

Overshooting of Hypoplastic Models With Intergranular Strain: Manifestation, Implications and Remedy

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 13, Page 5068-5091, September 2026.
ABSTRACT Intergranular strain extensions of hypoplasticity (IGS, ISA, GIS) are widely used to model small‐strain and cyclic soil behaviour. However, recent studies and our own simulations reveal that these models can exhibit stress overshooting not only under repeated small loading cycles but also during monotonic loading.
Jan Machaček   +2 more
wiley   +1 more source

Exploring the Use and Impact of Composite Materials in Robotics: A Systematic Review

open access: yesJournal of Field Robotics, Volume 43, Issue 6, Page 4037-4060, September 2026.
ABSTRACT Lightweight and high‐strength materials are important in robotics, as structural design impacts efficiency, payload capacity, and energy consumption. Composite materials, with their superior stiffness‐to‐weight ratios and multifunctional properties, offer clear advantages over conventional metals and polymers.
Doglas Negri   +4 more
wiley   +1 more source

Deep learning for sleep quality assessment: A CNN‐based approach outperforming traditional algorithms in wearable accelerometer data analysis

open access: yesSleep Research, Volume 3, Issue 3, Page 251-257, September 2026.
Abstract Objective This study evaluates and enhances wearable sleep monitoring by comparing two feature extraction methods: traditional activity counts and deep learning‐derived features. By identifying optimal machine learning architectures, we aim to improve sleep stage classification accuracy, providing a robust, noncontact tool for clinical chronic
Lin Zhongyue   +4 more
wiley   +1 more source

Bionic Tactile Skins for Robotics: Fundamentals, Advances, and Future Prospects

open access: yesSmartSys, Volume 2, Issue 3, September 2026.
ABSTRACT Robotic bionic tactile skins (RBTSs), as crucial components of next‐generation robotic systems, have attracted significant attention in recent years. By enabling robots to achieve human‐like tactile perception and interact effectively with their surroundings, RBTSs play an essential role in enhancing robotic intelligence.
Jiajun Wu   +8 more
wiley   +1 more source

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