A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work

D Sethi, S Bharti, C Prakash - Artificial Intelligence in Medicine, 2022 - Elsevier
Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …

Pedestrian dead reckoning with wearable sensors: A systematic review

X Hou, J Bergmann - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Pedestrian Dead Reckoning (PDR) is the process of calculating one's current location by
using the previously known position, and advancing that position over time using …

Deep learning-based gait recognition using smartphones in the wild

Q Zou, Y Wang, Q Wang, Y Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Compared to other biometrics, gait is difficult to conceal and has the advantage of being
unobtrusive. Inertial sensors, such as accelerometers and gyroscopes, are often used to …

Analysis and evaluation of hemiplegic gait based on wearable sensor network

H Zhao, H Xu, Z Wang, L Wang, S Qiu, D Peng, J Li… - Information …, 2023 - Elsevier
Hemiplegia is a common symptom of acute cerebrovascular disease, and most patients with
hemiplegia have abnormal gaits. Descriptive evaluation methods are commonly used in …

Adaptive gait detection based on foot-mounted inertial sensors and multi-sensor fusion

H Zhao, Z Wang, S Qiu, J Wang, F Xu, Z Wang, Y Shen - Information Fusion, 2019 - Elsevier
Gait detection plays an important role in areas where spatial-temporal gait parameters are
needed. Inertial sensors are now sufficiently small in size and light in weight for collection of …

Fifteen years of progress at zero velocity: A review

J Wahlström, I Skog - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Fifteen years have passed since the publication of Foxlin's seminal paper “Pedestrian
tracking with shoe-mounted inertial sensors”. In addition to popularizing the zero-velocity …

Real-time human motion capture based on wearable inertial sensor networks

J Li, X Liu, Z Wang, H Zhao, T Zhang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Wearable inertial motion capture, a new type of motion capture technology, mainly estimates
the human posture in 3-D space through multisensor data fusion. The available method for …

Fuzzy logic type-2 based wireless indoor localization system for navigation of visually impaired people in buildings

B Al-Madani, F Orujov, R Maskeliūnas… - Sensors, 2019 - mdpi.com
The ability to precisely locate and navigate a partially impaired or a blind person within a
building is increasingly important for a wide variety of public safety and localization services …

MEMS inertial sensors based gait analysis for rehabilitation assessment via multi-sensor fusion

S Qiu, L Liu, H Zhao, Z Wang, Y Jiang - Micromachines, 2018 - mdpi.com
Gait and posture are regular activities which are fully controlled by the sensorimotor cortex.
In this study, fluctuations of joint angle and asymmetry of foot elevation in human walking …

Adaptive threshold-based ZUPT for single IMU-enabled wearable pedestrian localization

H Li, H Liu, Z Li, C Li, Z Meng, N Gao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Without dependence on external anchors, the micro-electro-mechanical system inertial
measurement unit (MIMU) allowing autonomous localization has promised great potential in …