AIMC Topic: Walking
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Reducing the energy cost of running using a lightweight, low-profile elastic exosuit.
Journal of neuroengineering and rehabilitation
Aug 30, 2021
BACKGROUND: Human beings can enhance their distance running performance with the help of assistive devices. Although several such devices are available, they are heavy and bulky, which limits their use in everyday activities. In this study, we develo...
Gait Phase Estimation by Using LSTM in IMU-Based Gait Analysis-Proof of Concept.
Sensors (Basel, Switzerland)
Aug 26, 2021
Gait phase detection in IMU-based gait analysis has some limitations due to walking style variations and physical impairments of individuals. Therefore, available algorithms may not work properly when the gait data is noisy, or the person rarely reac...
Sexing white 2D footprints using convolutional neural networks.
PloS one
Aug 18, 2021
Footprints are left, or obtained, in a variety of scenarios from crime scenes to anthropological investigations. Determining the sex of a footprint can be useful in screening such impressions and attempts have been made to do so using single or multi...
Inverse optimal control to model human trajectories during locomotion.
Computer methods in biomechanics and biomedical engineering
Aug 16, 2021
Cobotic applications require a good knowledge of human behaviour in order to be cleverly, securely and fluidly performed. For example, to make a human and a humanoid robot perform a co-navigation or a co-manipulation task, a model of human walking tr...
Predicting Fatigue in Long Duration Mountain Events with a Single Sensor and Deep Learning Model.
Sensors (Basel, Switzerland)
Aug 12, 2021
AIM: To determine whether an AI model and single sensor measuring acceleration and ECG could model cognitive and physical fatigue for a self-paced trail run.
Efficient bipedal locomotion on rough terrain via compliant ankle actuation with energy regulation.
Bioinspiration & biomimetics
Aug 12, 2021
Legged locomotion enables robotic platforms to traverse on rough terrain, which is quite challenging for other locomotion types, such as in wheeled and tracked systems. However, this benefit-moving robustly on rough terrain-comes with an inherent dra...
Anisotropic compliance of robot legs improves recovery from swing-phase collisions.
Bioinspiration & biomimetics
Aug 12, 2021
Uneven terrain in natural environments challenges legged locomotion by inducing instability and causing limb collisions. During the swing phase, the limb releases from the ground and arcs forward to target a secure next foothold. In natural environme...
Prediction of gait trajectories based on the Long Short Term Memory neural networks.
PloS one
Aug 5, 2021
The forecasting of lower limb trajectories can improve the operation of assistive devices and minimise the risk of tripping and balance loss. The aim of this work was to examine four Long Short Term Memory (LSTM) neural network architectures (Vanilla...
Evaluation of safety and performance of the self balancing walking system Atalante in patients with complete motor spinal cord injury.
Spinal cord series and cases
Aug 4, 2021
STUDY DESIGN: Prospective, open label, observational.
Robot-assisted gait training in individuals with spinal cord injury: A systematic review for the clinical effectiveness of Lokomat.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jul 26, 2021
BACKGROUND: Spinal cord injury (SCI) is a critical medical condition that causes numerous impairments leading to accompanying disability. Robotic-assisted gait training (RAGT) offers many advantages, including the capability to increase the intensity...
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