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 …
Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness
Background In the past decade, there has been substantial progress in the development of
robotic controllers that specify how lower-limb exoskeletons should interact with brain …
robotic controllers that specify how lower-limb exoskeletons should interact with brain …
Doppler radar for the extraction of biomechanical parameters in gait analysis
The applicability of Doppler radar for gait analysis is investigated by quantitatively
comparing the measured biomechanical parameters to those obtained using motion …
comparing the measured biomechanical parameters to those obtained using motion …
Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment
SR Donahue, ME Hahn - Scientific Reports, 2023 - nature.com
Wearable sensors and machine learning algorithms are becoming a viable alternative for
biomechanical analysis outside of the laboratory. The purpose of this work was to estimate …
biomechanical analysis outside of the laboratory. The purpose of this work was to estimate …
Gait phase recognition using deep convolutional neural network with inertial measurement units
Gait phase recognition is of great importance in the development of assistance-as-needed
robotic devices, such as exoskeletons. In order for a powered exoskeleton with phase-based …
robotic devices, such as exoskeletons. In order for a powered exoskeleton with phase-based …
Learning to walk with a wearable robot in 880 simple steps: a pilot study on motor adaptation
Background Wearable robots have been shown to improve the efficiency of walking in
diverse scenarios. However, it is unclear how much practice is needed to fully adapt to …
diverse scenarios. However, it is unclear how much practice is needed to fully adapt to …
Self-powered flexible wearable wireless sensing for outdoor work heatstroke prevention and health monitoring
X Chen, Z Wan, R Zhang, L Ma, Z Yang… - Chemical Engineering …, 2024 - Elsevier
Outdoor workers are susceptible to heatstroke in hot weather. Currently, there are no
wearable devices on the market to assess the risk of heatstroke. This paper proposes a self …
wearable devices on the market to assess the risk of heatstroke. This paper proposes a self …
Gait trajectory and gait phase prediction based on an LSTM network
B Su, EM Gutierrez-Farewik - Sensors, 2020 - mdpi.com
Lower body segment trajectory and gait phase prediction is crucial for the control of
assistance-as-needed robotic devices, such as exoskeletons. In order for a powered …
assistance-as-needed robotic devices, such as exoskeletons. In order for a powered …
Lower limb joint biomechanics-based identification of gait transitions in between level walking and stair ambulation
Lower limb exoskeletons and lower limb prostheses have the potential to reduce gait
limitations during stair ambulation. To develop robotic assistance devices, the biomechanics …
limitations during stair ambulation. To develop robotic assistance devices, the biomechanics …
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 …