AIMC Topic: Walking
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Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a "Chatty Device".
Sensors (Basel, Switzerland)
Jul 22, 2021
To create products that are better fit for purpose, manufacturers require new methods for gaining insights into product experience in the wild at scale. "Chatty Factories" is a concept that explores the transformative potential of placing IoT-enabled...
Robot-Assisted Gait Training in Patients with Multiple Sclerosis: A Randomized Controlled Crossover Trial.
Medicina (Kaunas, Lithuania)
Jul 14, 2021
Gait disorders represent one of the most disabling aspects in multiple sclerosis (MS) that strongly influence patient quality of life. The improvement of walking ability is a primary goal for rehabilitation treatment. The aim of this study is to eva...
Clinical effects of assisted robotic gait training in walking distance, speed, and functionality are maintained over the long term in individuals with cerebral palsy: a systematic review and meta-analysis.
Disability and rehabilitation
Jul 7, 2021
PURPOSE: To identify the short-term effects of robotic-assisted gait training (RAGT) on walking distance, gait speed and functionality of cerebral palsy (CP) patients, and to verify if the effects of RAGT are maintained in the long term.
Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification.
Sensors (Basel, Switzerland)
Jul 7, 2021
Physical activity has a strong influence on mental and physical health and is essential in healthy ageing and wellbeing for the ever-growing elderly population. Wearable sensors can provide a reliable and economical measure of activities of daily liv...
Robot-mediated overground gait training for transfemoral amputees with a powered bilateral hip orthosis: a pilot study.
Journal of neuroengineering and rehabilitation
Jul 3, 2021
BACKGROUND: Transfemoral amputation is a serious intervention that alters the locomotion pattern, leading to secondary disorders and reduced quality of life. The outcomes of current gait rehabilitation for TFAs seem to be highly dependent on factors ...
Muscle network topology analysis for the classification of chronic neck pain based on EMG biomarkers extracted during walking.
PloS one
Jun 21, 2021
Neuromuscular impairments are frequently observed in patients with chronic neck pain (CNP). This study uniquely investigates whether changes in neck muscle synergies detected during gait are sensitive enough to differentiate between people with and w...
Classification of Walking Environments Using Deep Learning Approach Based on Surface EMG Sensors Only.
Sensors (Basel, Switzerland)
Jun 18, 2021
Classification of terrain is a vital component in giving suitable control to a walking assistive device for the various walking conditions. Although surface electromyography (sEMG) signals have been combined with inputs from other sensors to detect w...
Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads.
Scientific reports
Jun 15, 2021
To minimize fatigue, sustain workloads, and reduce the risk of injuries, the exoskeleton Carry was developed. Carry combines a soft human-machine interface and soft pneumatic actuation to assist the elbow in load holding and carrying. We hypothesize ...
XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes.
Scientific reports
Jun 9, 2021
This study aimed to identify the optimal features of gait parameters to predict the fall risk level in older adults. The study included 746 older adults (age: 63-89 years). Gait tests (20 m walkway) included speed modification (slower, preferred, and...
User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life.
Sensors (Basel, Switzerland)
Jun 4, 2021
Considering the trend of aging societies, accompanying technology can help frail, elderly individuals participate in daily activities. The ideal accompanying robot should accompany the user in a proper position according to the activity scenarios and...
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