AIMC Topic: Bicycling

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Crash severity analysis of vulnerable road users using machine learning.

PloS one Aug 5, 2021
Road crash fatality is a universal problem of the transportation system. A massive death toll caused annually due to road crash incidents, and among them, vulnerable road users (VRU) are endangered with high crash severity. This paper focuses on empl...
Machine Learning Female Young Adult Adult Humans Accidents, Traffic Bicycling Queensland Motorcycles Male Middle Aged Support Vector Machine Pedestrians
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Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization.

Sensors (Basel, Switzerland) Nov 15, 2020
A novel method for recognizing the phases in bicycling of lower limb amputees using support vector machine (SVM) optimized by particle swarm optimization (PSO) is proposed in this paper. The method is essential for enhanced prosthetic knee joint cont...
Wearable Electronic Devices Bicycling Support Vector Machine Wireless Technology Lower Extremity Knee Joint Amputees Artificial Limbs Accelerometry Ankle Joint Humans Algorithms
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The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms.

Accident; analysis and prevention Jul 2, 2020
In this study, two novel fuzzy decision approaches, where the fuzzy logic (FL) model was revised with the C4.5 decision tree (DT) algorithm, were applied to the classification of cyclist injury-severity in bicycle-vehicle accidents. The study aims to...
Humans Fuzzy Logic Built Environment Bicycling Accidents, Traffic Sex Factors Injury Severity Score
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Wi-Fi CSI-Based Outdoor Human Flow Prediction Using a Support Vector Machine.

Sensors (Basel, Switzerland) Apr 10, 2020
This paper proposes a channel state information (CSI)-based prediction method of a human flow that includes activity. The objective of the paper is to predict a human flow in an outdoor road. This human flow prediction is useful for the prediction of...
Bicycling Wireless Technology Humans Support Vector Machine Walking Running
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Improving energy expenditure estimates from wearable devices: A machine learning approach.

Journal of sports sciences Apr 6, 2020
A means of quantifying continuous, free-living energy expenditure (EE) would advance the study of bioenergetics. The aim of this study was to apply a non-linear, machine learning algorithm (random forest) to predict minute level EE for a range of act...
Sedentary Behavior Bicycling Galvanic Skin Response Jogging Accelerometry Fitness Trackers Calorimetry, Indirect Adult Male Middle Aged Body Mass Index Exercise Body Composition Machine Learning Walking Algorithms Activities of Daily Living Female Heart Rate Energy Metabolism Body Temperature Humans
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Estimating an individual's oxygen uptake during cycling exercise with a recurrent neural network trained from easy-to-obtain inputs: A pilot study.

PloS one Mar 12, 2020
Measurement of oxygen uptake during exercise ([Formula: see text]) is currently non-accessible to most individuals without expensive and invasive equipment. The goal of this pilot study was to estimate cycling [Formula: see text] from easy-to-obtain ...
Male Exercise Pilot Projects Oxygen Consumption Humans Physical Exertion Neural Networks, Computer Physical Endurance Female Bicycling Adult
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A Multibranch Object Detection Method for Traffic Scenes.

Computational intelligence and neuroscience Nov 11, 2019
The performance of convolutional neural network- (CNN-) based object detection has achieved incredible success. Howbeit, existing CNN-based algorithms suffer from a problem that small-scale objects are difficult to detect because it may have lost its...
Humans Neural Networks, Computer Pattern Recognition, Automated Bicycling Motor Vehicles Time Factors Cities Light
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Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones.

Journal of safety research May 10, 2019
INTRODUCTION: In this paper, we present machine learning techniques to analyze pedestrian and bicycle crash by developing macro-level crash prediction models.
Machine Learning Bicycling Socioeconomic Factors Transportation Motor Vehicles Pedestrians Humans Environment Design Accidents, Traffic Models, Statistical Safety Automobile Driving
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Distributed Repetitive Learning Control for Cooperative Cadence Tracking in Functional Electrical Stimulation Cycling.

IEEE transactions on cybernetics Dec 10, 2018
Closed-loop control of functional electrical stimulation coupled with motorized assistance to induce cycling is a rehabilitative strategy that can improve the mobility of people with neurological conditions (NCs). However, robust control methods, whi...
Female Young Adult Adult Male Humans Machine Learning Electric Stimulation Therapy Neurological Rehabilitation Postural Balance Signal Processing, Computer-Assisted Exercise Therapy Bicycling
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MIT-Skywalker: considerations on the Design of a Body Weight Support System.

Journal of neuroengineering and rehabilitation Sep 6, 2017
BACKGROUND: To provide body weight support during walking and balance training, one can employ two distinct embodiments: support through a harness hanging from an overhead system or support through a saddle/seat type. This paper presents a comparison...
Gait Disorders, Neurologic Nervous System Diseases Walking Humans Adult Walking Speed Software Body Weight Biomechanical Phenomena Orthotic Devices Female Healthy Volunteers Male Bicycling Robotics
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