AIMC Topic: Walking

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Reducing Metabolic Cost During Planetary Ambulation Using Robotic Actuation.

Aerospace medicine and human performance
Current spacesuits are cumbersome and metabolically expensive. The use of robotic actuators could improve extravehicular activity performance. We propose a novel method to quantify the benefit of robotic actuators during planetary ambulation. Using ...

The effect of patient-specific factors on responsiveness to robot-assisted gait training in patients with bilateral spastic cerebral palsy.

NeuroRehabilitation
BACKGROUND: No general recommendations are yet available for the application of robot-assisted treadmill therapy for children with cerebral palsy regarding the length and intensity of the intervention.

A soft exosuit for hip extension assistance of the elderly.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Population aging is now a universal trend. Many elderly persons can only conduct limited and short time walking because of age-related skeletal muscle decline of the lower limbs. The wearable device for walking assistance is beneficial to...

Preliminary development and technical evaluation of a belt-actuated robotic rehabilitation platform.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: To provide effective rehabilitation in the early post-injury stage, a novel robotic rehabilitation platform is proposed, which provides full-body arm-leg rehabilitation via belt actuation to severely disabled patients who are restricted t...

Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series.

Mathematical biosciences and engineering : MBE
The gait speed affects the gait patterns (biomechanical and spatiotemporal parameters) of distinct age populations. Classification of normal, slow and fast walking is fundamental for understanding the effects of gait speed on the gait patterns and fo...

Generation of diverse insect-like gait patterns using networks of coupled Rössler systems.

Chaos (Woodbury, N.Y.)
The generation of walking patterns is central to bio-inspired robotics and has been attained using methods encompassing diverse numerical as well as analog implementations. Here, we demonstrate the possibility of synthesizing viable gaits using a par...

Application of Deep Learning Methods for Pedestrian Collision Detection Using Dashcam Videos.

Stapp car crash journal
The goal of this study is to clarify the usefulness of deep learning methods for pedestrian collision detection using dashcam videos for advanced automatic collision notification, focusing on pedestrians, as they make up the highest number of traffic...

Predicting the Assisted Living Care Needs Using Machine Learning and Health State Survey Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Effective pain management can significantly improve quality of life and outcomes for various types of patients (e.g. elderly, adult, young) and often requires assisted living for a significant number of people worldwide. In order to improve our under...

Free-living Evaluation of Laboratory-based Activity Classifiers in Preschoolers.

Medicine and science in sports and exercise
UNLABELLED: Machine learning classification models for accelerometer data are potentially more accurate methods to measure physical activity in young children than traditional cut point methods. However, existing algorithms have been trained on labor...