AIMC Topic: Foot

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Hier R-CNN: Instance-Level Human Parts Detection and A New Benchmark.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Nov 18, 2020
Detecting human parts at instance-level is an essential prerequisite for the analysis of human keypoints, actions, and attributes. Nonetheless, there is a lack of a large-scale, rich-annotated dataset for human parts detection. We fill in the gap by ...
Humans Neural Networks, Computer Hand Benchmarking Algorithms Head Databases, Factual Foot Image Processing, Computer-Assisted
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Predicting gait events from tibial acceleration in rearfoot running: A structured machine learning approach.

Gait & posture Nov 10, 2020
BACKGROUND: Gait event detection of the initial contact and toe off is essential for running gait analysis, allowing the derivation of parameters such as stance time. Heuristic-based methods exist to estimate these key gait events from tibial acceler...
Gait Analysis Foot Acceleration Tibia Accelerometry Biomechanical Phenomena Gait Humans Machine Learning
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Combining wearable sensor signals, machine learning and biomechanics to estimate tibial bone force and damage during running.

Human movement science Oct 22, 2020
There are tremendous opportunities to advance science, clinical care, sports performance, and societal health if we are able to develop tools for monitoring musculoskeletal loading (e.g., forces on bones or muscles) outside the lab. While wearable se...
Algorithms Female Young Adult Adult Humans Machine Learning Foot Feasibility Studies Shoes Running Biomechanical Phenomena Musculoskeletal Physiological Phenomena Tibia Male Wearable Electronic Devices
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Neurodynamic modeling of the fruit fly Drosophila melanogaster.

Bioinspiration & biomimetics Sep 14, 2020
This manuscript describes neuromechanical modeling of the fruit fly Drosophila melanogaster in the form of a hexapod robot, Drosophibot, and an accompanying dynamic simulation. Drosophibot is a testbed for real-time dynamical neural controllers model...
Feedback, Sensory Walking Biomimetics Insecta Foot Movement Drosophila melanogaster Joints Computer Simulation Animals Robotics Neural Networks, Computer
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Fast Wearable Sensor-Based Foot-Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping.

Sensors (Basel, Switzerland) Sep 3, 2020
Classification of foot-ground contact phases, as well as the swing phase is essential in biomechanics domains where lower-limb motion analysis is required; this analysis is used for lower-limb rehabilitation, walking gait analysis and improvement, an...
Wearable Electronic Devices Walking Gait Analysis Humans Neural Networks, Computer Foot
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Kinematic Calibration of a Parallel 2-UPS/RRR Ankle Rehabilitation Robot.

Journal of healthcare engineering Sep 3, 2020
In order to better perform rehabilitation training on the ankle joint complex in the direction of dorsiflexion/plantarflexion and inversion/eversion, especially when performing the isokinetic muscle strength exercise, we need to calibrate the kinemat...
Movement Reproducibility of Results Ankle Biomechanical Phenomena Muscle, Skeletal Range of Motion, Articular Muscle Strength Humans Calibration Robotics Ankle Joint Motion Foot
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A Deep-Learning Approach for Foot-Type Classification Using Heterogeneous Pressure Data.

Sensors (Basel, Switzerland) Aug 11, 2020
The human foot is easily deformed owing to the innate form of the foot or an incorrect walking posture. Foot deformations not only pose a threat to foot health but also cause fatigue and pain when walking; therefore, accurate diagnoses of foot deform...
Walking Foot Deep Learning Posture Humans
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Simulation of Disturbance Recovery Based on MPC and Whole-Body Dynamics Control of Biped Walking.

Sensors (Basel, Switzerland) May 24, 2020
Biped robots are similar to human beings and have broad application prospects in the fields of family service, disaster rescue and military affairs. However, simplified models and fixed center of mass (COM) used in previous research ignore the large-...
Robotics Walking Motion Foot Humans Computer Simulation
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Pedestrian Navigation Method Based on Machine Learning and Gait Feature Assistance.

Sensors (Basel, Switzerland) Mar 10, 2020
In recent years, as the mechanical structure of humanoid robots increasingly resembles the human form, research on pedestrian navigation technology has become of great significance for the development of humanoid robot navigation systems. To solve th...
Reproducibility of Results Biomechanical Phenomena Wearable Electronic Devices Gait Pedestrians Robotics Walking Foot Motion Neural Networks, Computer Acceleration Humans Machine Learning Monitoring, Ambulatory Algorithms
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Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 10, 2019
Wearable sensors have been proposed as alternatives to traditional laboratory equipment for low-cost and portable real-time gait analysis in unconstrained environments. However, the moderate accuracy of these systems currently limits their widespread...
Biomechanical Phenomena Foot Male Orthotic Devices Reproducibility of Results Humans Walking Running Support Vector Machine Machine Learning Young Adult Gait Healthy Volunteers Algorithms Adult
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