Metaverse wearables for immersive digital healthcare: a review

K Kim, H Yang, J Lee, WG Lee - Advanced Science, 2023 - Wiley Online Library
The recent exponential growth of metaverse technology has been instrumental in reshaping
a myriad of sectors, not least digital healthcare. This comprehensive review critically …

Legged locomotion over irregular terrains: State of the art of human and robot performance

A Torres-Pardo, D Pinto-Fernández… - Bioinspiration & …, 2022 - iopscience.iop.org
Legged robotic technologies have moved out of the lab to operate in real environments,
characterized by a wide variety of unpredictable irregularities and disturbances, all this in …

A multi-modal gait database of natural everyday-walk in an urban environment

V Losing, M Hasenjäger - Scientific data, 2022 - nature.com
Human gait data have traditionally been recorded in controlled laboratory environments
focusing on single aspects in isolation. In contrast, the database presented here provides …

Applying deep neural networks and inertial measurement unit in recognizing irregular walking differences in the real world

B Hu, S Li, Y Chen, R Kavi, S Coppola - Applied Ergonomics, 2021 - Elsevier
Falling injuries pose serious health risks to people of all ages, and knowing the extent of
exposure to irregular surfaces will increase the ability to measure fall risk. Current gait …

[HTML][HTML] Recent Advances in Self-Powered Wearable Flexible Sensors for Human Gaits Analysis

X Hu, Z Ma, F Zhao, S Guo - Nanomaterials, 2024 - mdpi.com
The rapid progress of flexible electronics has met the growing need for detecting human
movement information in exoskeleton auxiliary equipment. This study provides a review of …

ProActive: Self-attentive temporal point process flows for activity sequences

V Gupta, S Bedathur - Proceedings of the 28th ACM SIGKDD Conference …, 2022 - dl.acm.org
Any human activity can be represented as a temporal sequence of actions performed to
achieve a certain goal. Unlike machine-made time series, these action sequences are highly …

Human activity recognition in an end-of-life consumer electronics disassembly task

Y Chen, HY Liao, S Behdad, B Hu - Applied Ergonomics, 2023 - Elsevier
The production of electronic waste, also known as e-waste, has risen with the growing
reliance on electronic products. To reduce negative environmental impact and achieve …

A human lower-limb biomechanics and wearable sensors dataset during cyclic and non-cyclic activities

K Scherpereel, D Molinaro, O Inan, M Shepherd… - Scientific Data, 2023 - nature.com
Tasks of daily living are often sporadic, highly variable, and asymmetric. Analyzing these
real-world non-cyclic activities is integral for expanding the applicability of exoskeletons …

Human locomotion databases: a systematic review

PF David, RC David, T Diego - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
The analysis of human locomotion is highly dependent on the quantity and quality of
available data to obtain reliable evidence, due to the great variability of gait characteristics …

A database of physical therapy exercises with variability of execution collected by wearable sensors

S García-de-Villa, A Jiménez-Martín… - Scientific Data, 2022 - nature.com
This document introduces the PHYTMO database, which contains data from physical
therapies recorded with inertial sensors, including information from an optical reference …