Multidiscipline applications of triboelectric nanogenerators for the intelligent era of internet of things

X Cao, Y Xiong, J Sun, X Xie, Q Sun, ZL Wang - Nano-Micro Letters, 2023 - Springer
In the era of 5G and the Internet of things (IoTs), various human–computer interaction
systems based on the integration of triboelectric nanogenerators (TENGs) and IoTs …

Assessment methods of post-stroke gait: A scoping review of technology-driven approaches to gait characterization and analysis

DM Mohan, AH Khandoker, SA Wasti… - Frontiers in …, 2021 - frontiersin.org
Background: Gait dysfunction or impairment is considered one of the most common and
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …

Gait analysis in neurological populations: Progression in the use of wearables

Y Celik, S Stuart, WL Woo, A Godfrey - Medical Engineering & Physics, 2021 - Elsevier
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review

LC Benson, CA Clermont, E Bošnjak, R Ferber - Gait & posture, 2018 - Elsevier
Background Quantitative gait analysis is essential for evaluating walking and running
patterns for markers of pathology, injury, or other gait characteristics. It is expected that the …

Progress in the triboelectric human–machine interfaces (HMIs)-moving from smart gloves to AI/haptic enabled HMI in the 5G/IoT era

Z Sun, M Zhu, C Lee - Nanoenergy Advances, 2021 - mdpi.com
Entering the 5G and internet of things (IoT) era, human–machine interfaces (HMIs) capable
of providing humans with more intuitive interaction with the digitalized world have …

Wearable sensor-based real-time gait detection: A systematic review

H Prasanth, M Caban, U Keller, G Courtine, A Ijspeert… - Sensors, 2021 - mdpi.com
Gait analysis has traditionally been carried out in a laboratory environment using expensive
equipment, but, recently, reliable, affordable, and wearable sensors have enabled …

Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review

A Saboor, T Kask, A Kuusik, MM Alam… - Ieee …, 2020 - ieeexplore.ieee.org
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …

Estimation of gait mechanics based on simulated and measured IMU data using an artificial neural network

M Mundt, A Koeppe, S David, T Witter… - … in bioengineering and …, 2020 - frontiersin.org
Enhancement of activity is one major topic related to the aging society. Therefore, it is
necessary to understand people's motion and identify possible risk factors during activity …

Progress of advanced devices and internet of things systems as enabling technologies for smart homes and health care

Q Shi, Y Yang, Z Sun, C Lee - ACS Materials Au, 2022 - ACS Publications
In the Internet of Things (IoT) era, various devices (eg., sensors, actuators, energy
harvesters, etc.) and systems have been developed toward the realization of smart …

Use of wearable sensor technology in gait, balance, and range of motion analysis

S Díaz, JB Stephenson, MA Labrador - Applied Sciences, 2019 - mdpi.com
More than 8.6 million people suffer from neurological disorders that affect their gait and
balance. Physical therapists provide interventions to improve patient's functional outcomes …