Gait partitioning methods: A systematic review
In the last years, gait phase partitioning has come to be a challenging research topic due to
its impact on several applications related to gait technologies. A variety of sensors can be …
its impact on several applications related to gait technologies. A variety of sensors can be …
A review of gait phase detection algorithms for lower limb prostheses
Fast and accurate gait phase detection is essential to achieve effective powered lower-limb
prostheses and exoskeletons. As the versatility but also the complexity of these robotic …
prostheses and exoskeletons. As the versatility but also the complexity of these robotic …
Gait phase detection for lower-limb exoskeletons using foot motion data from a single inertial measurement unit in hemiparetic individuals
MD Sánchez Manchola, MJP Bernal, M Munera… - Sensors, 2019 - mdpi.com
Due to the recent rise in the use of lower-limb exoskeletons as an alternative for gait
rehabilitation, gait phase detection has become an increasingly important feature in the …
rehabilitation, gait phase detection has become an increasingly important feature in the …
Walking gait phase detection based on acceleration signals using LSTM-DNN algorithm
T Zhen, L Yan, P Yuan - Algorithms, 2019 - mdpi.com
Gait phase detection is a new biometric method which is of great significance in gait
correction, disease diagnosis, and exoskeleton assisted robots. Especially for the …
correction, disease diagnosis, and exoskeleton assisted robots. Especially for the …
ED-FNN: A new deep learning algorithm to detect percentage of the gait cycle for powered prostheses
Throughout the last decade, a whole new generation of powered transtibial prostheses and
exoskeletons has been developed. However, these technologies are limited by a gait phase …
exoskeletons has been developed. However, these technologies are limited by a gait phase …
Recent use of deep learning techniques in clinical applications based on gait: a survey
Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …
and medicine. In particular, clinical gait analysis has played a significant role in improving …
Automatic detection of faults in race walking: A comparative analysis of machine-learning algorithms fed with inertial sensor data
The validity of results in race walking is often questioned due to subjective decisions in the
detection of faults. This study aims to compare machine-learning algorithms fed with data …
detection of faults. This study aims to compare machine-learning algorithms fed with data …
Validation of inter-subject training for hidden Markov models applied to gait phase detection in children with cerebral palsy
Gait-phase recognition is a necessary functionality to drive robotic rehabilitation devices for
lower limbs. Hidden Markov Models (HMMs) represent a viable solution, but they need …
lower limbs. Hidden Markov Models (HMMs) represent a viable solution, but they need …
Automatic classification of gait impairments using a markerless 2D video-based system
TT Verlekar, LD Soares, PL Correia - Sensors, 2018 - mdpi.com
Systemic disorders affecting an individual can cause gait impairments. Successful
acquisition and evaluation of features representing such impairments make it possible to …
acquisition and evaluation of features representing such impairments make it possible to …
Gait trajectory prediction on an embedded microcontroller using deep learning
Achieving a normal gait trajectory for an amputee's active prosthesis is challenging due to its
kinematic complexity. Accordingly, lower limb gait trajectory kinematics and gait phase …
kinematic complexity. Accordingly, lower limb gait trajectory kinematics and gait phase …