Systematic literature review: application of deep learning processing technique for fig fruit detection and counting
ASF Kamaruzaman, AIC Ani, MAHM Farid… - Bulletin of Electrical …, 2023 - beei.org
Deep learning has shown much promise in target identification in recent years, and it's
becoming more popular in agriculture, where fig fruit detection and counting have become …
becoming more popular in agriculture, where fig fruit detection and counting have become …
Individualized gait pattern generation for sharing lower limb exoskeleton robot
The development of sharing technology makes it possible for expensive lower limb
exoskeleton robots to be extensively employed. However, due to the uniqueness of gait …
exoskeleton robots to be extensively employed. However, due to the uniqueness of gait …
Lower limb kinematics trajectory prediction using long short-term memory neural networks
This study determined whether the kinematics of lower limb trajectories during walking could
be extrapolated using long short-term memory (LSTM) neural networks. It was hypothesised …
be extrapolated using long short-term memory (LSTM) neural networks. It was hypothesised …
Gait phase recognition for lower-limb exoskeleton with only joint angular sensors
Gait phase is widely used for gait trajectory generation, gait control and gait evaluation on
lower-limb exoskeletons. So far, a variety of methods have been developed to identify the …
lower-limb exoskeletons. So far, a variety of methods have been developed to identify the …
Deep spatial-temporal model for rehabilitation gait: Optimal trajectory generation for knee joint of lower-limb exoskeleton
Purpose The purpose of this paper is to model and predict suitable gait trajectories of lower-
limb exoskeleton for wearer during rehabilitation walking. Lower-limb exoskeleton is widely …
limb exoskeleton for wearer during rehabilitation walking. Lower-limb exoskeleton is widely …
Overground robot based gait rehabilitation system MOPASS-overview and first results from usability testing
O Kuzmicheva, SF Martinez, U Krebs… - … on Robotics and …, 2016 - ieeexplore.ieee.org
This paper presents the novel mobile robotic gait rehabilitation system MOPASS and the first
results from its usability testing in the clinics. Consisting of an adjustable mobile platform and …
results from its usability testing in the clinics. Consisting of an adjustable mobile platform and …
Deep rehabilitation gait learning for modeling knee joints of lower-limb exoskeleton
Lower-limb exoskeleton is widely used for assisting walk in rehabilitation field. One key
problem for exoskeleton control is to model and predict the suitable gait trajectories of …
problem for exoskeleton control is to model and predict the suitable gait trajectories of …
Lower limb exoskeleton parasitic force modeling and minimizing with an adaptive trajectory controller
Parasitic force caused by joint misalignment is a common and challenging problem in the
design and control of lower limb exoskeletons due to the complex human joint morphology …
design and control of lower limb exoskeletons due to the complex human joint morphology …
The efficacy of state of the art overground gait rehabilitation robotics: a bird's eye view
To date, rehabilitation robotics has come a long way effectively aiding the rehabilitation
process of the patients suffering from paraplegia or hemiplegia due to spinal cord injury …
process of the patients suffering from paraplegia or hemiplegia due to spinal cord injury …
Gait phase recognition of multi-mode locomotion based on multi-layer perceptron for the plantar pressure measurement system
B Ren, J Liu, W Guan, P Ren - International Journal of Intelligent Robotics …, 2023 - Springer
The gait phase recognition has some broad application prospects, such as lower limb
exoskeleton (LLE). To accurately identify the gait phase in different locomotion modes …
exoskeleton (LLE). To accurately identify the gait phase in different locomotion modes …