Results 211 to 220 of about 81,384 (338)

IMU50: a high-frequency multi-modal wrist-worn IMU dataset of 50 subjects over 5 continuous days for supervised and self-supervised learning in free-living conditions. [PDF]

Data Brief
La Fratta I, Calisti L, Bigelli L, Chiacchiaretta P, Mascitelli A, D'Ardes D, Carlo PD, Lucertini F, Ferretti A, Lattanzi E, Franciotti R.   +10 more
europepmc   +1 more source

Using wearable devices to analyze the everyday gait differences between runners and nonrunners

Journal of Intelligent Medicine, Volume 3, Issue 3, Page 302-311, September 2026.
Through the analysis of wearable devices and machine learning, it is found for the first time that the gait of marathon runners is significantly different from that of ordinary people. This shows that long‐term long‐distance running training can optimize the walking mode or help reduce the risk of falling.
Liwen Kong, Shuai Tao, Jie Zhao, Yiyuan Chen, Xiaoya Liu   +4 more
wiley   +1 more source

IMU and History

Mitteilungen der Deutschen Mathematiker-Vereinigung, 1996
openaire   +1 more source

Subject-independent gait activity recognition using DSAF: dual-stream IMU-EMG attention fusion with asymmetric temporal encoding and physiological complementarity weighting. [PDF]

Front Neurorobot
Xu Z, Zhu Y, Li S.
europepmc   +1 more source

Unique Advantages of Triboelectric Nanogenerators for Wearable and Implantable Electronics

SmartSys, Volume 2, Issue 3, September 2026.
ABSTRACT The evolution of wearable and implantable electronics has redefined human‐machine interaction and clinical diagnostics. However, critical bottlenecks, including sensor performance, interfacial adaptation, and sustainable energy supply, etc., continue to hinder their widespread practical integration.
Tingyu Wang, Kun Xu, En Zhao, Guanbo Min, Bernd Wicklein, Christos Tsamis, Cheng Huang, Poom Konghuayrob, Wei Tang   +8 more
wiley   +1 more source

Assessment of IMU-derived lower-limb kinematics in transtibial amputees: A practical and accessible clinical workflow. [PDF]

PLoS One
Rattanakoch J, Limroongreungrat W, Guerra G, Manupibul U, Apidech H, Niamsang W, Suphab M, Laucha T, Samala M.   +8 more
europepmc   +1 more source

A Flexible Self‐Powered Wearable Strain Sensor for Real‐Time Gait Recognition and Cooperative Control of Lower‐Limb Exoskeletons

SmartSys, Volume 2, Issue 3, September 2026.
ABSTRACT Real‐time monitoring of subtle muscle deformation remains of considerable importance for cooperative human‐exoskeleton control. Highly integrated flexible triboelectric nanogenerators (TENGs), owing to their self‐powered operation and high sensing resolution, are well suited for continuous physiological monitoring and human‐robot interaction ...
Heran Li, Jiange Kou, Xianpeng Fu, Zhiguo Yang, Xiangkai Shen, Zhibo Sun, Yixuan Wang, Yan Shi, Chi Zhang, Fei Xie   +9 more
wiley   +1 more source

Dual-Layer Factor-Graph Optimization for Delayed Star-Tracker/IMU Fusion in Highly Dynamic Spacecraft Attitude Estimation. [PDF]

Sensors (Basel)
Zhang C, Yu Y, Li H.
europepmc   +1 more source

Quantifying the Equine Pain Response to Paracetamol Administration in Horses With Chronic Lameness Already Receiving Non‐Steroidal Anti‐Inflammatories

Veterinary Medicine and Science, Volume 12, Issue 5, September 2026.
In geriatric horses with chronic lameness receiving NSAIDs, adjunct oral paracetamol (20 mg/kg BID) showed no significant improvement in lameness severity. Weekly subjective scoring and objective gait analysis revealed no differences versus baseline or post‐treatment, indicating limited additional analgesic benefit in this population.
Stefanie Conduit, Mark Bowen, James Bailey, Adam Redpath   +3 more
wiley   +1 more source

Artificial Intelligence in Veterinary Neurology: Comparative Insights From Human Medicine and Cross‐Species Technology Transfer

Veterinary Medicine and Science, Volume 12, Issue 5, September 2026.
Overview of major artificial intelligence applications in veterinary neurology, including neuroimaging, seizure prediction, gait and pain assessment, and prognostic modeling. The figure also highlights cross‐species technology transfer and key challenges, such as limited data, lack of standardization, and ethical concerns.
Kianoush Saberi, Rosull Saadoon Abbood, Sarah F. Al‐Taie, Aseel Smerat, Abdullaev Makhmudjon Mukhamedovich, Maksudova Malika Khamdamjonovna, Mohammad Hedayatinia, Arash Zarei, Mehrdad Nourizadeh, Amir Arsalan Ghahari, Mehrdad Neshat Gharamaleki, Fatemeh Malekinejad, Reza Akhavan‐Sigari   +12 more
wiley   +1 more source