4.6 Article

Subject-Independent Continuous Locomotion Mode Classification for Robotic Hip Exoskeleton Applications

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Environmental Context Prediction for Lower Limb Prostheses With Uncertainty Quantification

Boxuan Zhong et al.

Summary: This article introduces a vision-based context prediction framework using Bayesian neural networks to quantify uncertainty and compare different wearable camera positions. The framework is used for online decision-making and fusion, demonstrating a practical procedure to interpret and improve the performance of deep neural networks.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2021)

Article Engineering, Biomedical

A Machine Learning Strategy for Locomotion Classification and Parameter Estimation Using Fusion of Wearable Sensors

Jonathan Camargo et al.

Summary: This study develops and optimizes a combined locomotion mode classifier and environmental parameter estimator using machine learning and wearable sensors. The system accurately classifies ambulation modes, estimates ramp incline, stair height, and walking speed with high accuracy. Mechanical sensors play a significant role in classification, with goniometers dominating incline and height estimation, and speed estimation primarily relying on inertial measurement units.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2021)

Article Biophysics

A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions

Jonathan Camargo et al.

Summary: This paper introduces a novel dataset of biomechanical and wearable sensor data from 22 able-bodied adults for multiple locomotion modes and terrain conditions. The dataset provides comprehensive locomotion information for researchers to advance applications in locomotion recognition, robotic assistive devices, and biomimetic controllers. Models for these applications can be either subject-dependent or subject-independent, offering greater flexibility for researchers.

JOURNAL OF BIOMECHANICS (2021)

Article Robotics

Real-Time Gait Phase Estimation for Robotic Hip Exoskeleton Control During Multimodal Locomotion

Inseung Kang et al.

Summary: A gait phase estimator based on convolutional neural network was developed for real-time control of a robotic hip exoskeleton during multimodal locomotion. This approach outperformed the literature standard with an RMSE of 5.04 +/- 0.79%, highlighting the potential of translating exoskeleton technology to more realistic settings.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

Article Automation & Control Systems

A Subvision System for Enhancing the Environmental Adaptability of the Powered Transfemoral Prosthesis

Kuangen Zhang et al.

Summary: This article introduces a subvision system that uses deep learning to accurately classify static terrains and estimate motion intents of amputees, enhancing the interaction between humans and prostheses. The system enables powered prostheses to assist amputees in achieving nonrhythmic locomotion naturally, including switching between different locomotion modes and crossing obstacles.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Proceedings Paper Engineering, Biomedical

Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons

Brokoslaw Laschowski et al.

Summary: Researched an environment recognition system for robotic exoskeletons using deep learning and computer vision for automated locomotion mode recognition; introduced a large database ExoNet for labeling wearable camera images of indoor and outdoor walking environments; achieved 73% image classification accuracy with the optimized EfficientNetB0 convolutional neural network.

2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC) (2021)

Article Engineering, Biomedical

Sensor Fusion of Vision, Kinetics, and Kinematics for Forward Prediction During Walking With a Transfemoral Prosthesis

Nili E. Krausz et al.

Summary: This study examined the performance of an offline forward prediction system combining mechanical, EMG, and vision features for controlling powered lower limb prostheses. It found that the fusion of these sensor modalities produced the best classification results for all subjects, but generalizability was challenging when training and testing with different subject data.

IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS (2021)

Article Engineering, Biomedical

Optimizing Exoskeleton Assistance for Faster Self-Selected Walking

Seungmoon Song et al.

Summary: In this study, human-in-the-loop optimization was used to demonstrate that ankle exoskeleton assistance can lead to significant increases in self-selected walking speed. By optimizing torque for speed, participants walked 42% faster than in normal shoes, highlighting the potential benefits for individuals with reduced walking speed.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2021)

Review Engineering, Biomedical

The exoskeleton expansion: improving walking and running economy

Gregory S. Sawicki et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2020)

Article Automation & Control Systems

Real-Time Locomotion Mode Recognition and Assistive Torque Control for Unilateral Knee Exoskeleton on Different Terrains

Xiuhua Liu et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2020)

Proceedings Paper Engineering, Biomedical

Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons

Brock Laschowski et al.

2019 IEEE 16TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR) (2019)

Article Engineering, Biomedical

Online adaptive neural control of a robotic lower limb prosthesis

J. A. Spanias et al.

JOURNAL OF NEURAL ENGINEERING (2018)

Article Mathematics, Interdisciplinary Applications

A Flexible Lower Extremity Exoskeleton Robot with Deep Locomotion Mode Identification

Can Wang et al.

COMPLEXITY (2018)

Article Engineering, Biomedical

Delaying Ambulation Mode Transition Decisions Improves Accuracy of a Flexible Control System for Powered Knee-Ankle Prosthesis

Ann M. Simon et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)

Article Engineering, Biomedical

State of the Art and Future Directions for Lower Limb Robotic Exoskeletons

Aaron J. Young et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)

Article Multidisciplinary Sciences

Human-in-the-loop optimization of exoskeleton assistance during walking

Juanjuan Zhang et al.

SCIENCE (2017)

Article Robotics

Kinematic-based locomotion mode recognition for power augmentation exoskeleton

Hongchul Kim et al.

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2017)

Article Engineering, Biomedical

A Classification Method for User-Independent Intent Recognition for Transfemoral Amputees Using Powered Lower Limb Prostheses

Aaron J. Young et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)

Article Engineering, Biomedical

Development of an Environment-Aware Locomotion Mode Recognition System for Powered Lower Limb Prostheses

Ming Liu et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)

Article Medicine, General & Internal

Intuitive Control of a Powered Prosthetic Leg During Ambulation A Randomized Clinical Trial

Levi J. Hargrove et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2015)

Article Robotics

Method for Walking Gait Identification in a Lower Extremity Exoskeleton based on C4.5 Decision Tree Algorithm

Qing Guo et al.

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2015)

Article Engineering, Biomedical

Intent Recognition in a Powered Lower Limb Prosthesis Using Time History Information

Aaron J. Young et al.

ANNALS OF BIOMEDICAL ENGINEERING (2014)

Article Engineering, Biomedical

Analysis of using EMG and mechanical sensors to enhance intent recognition in powered lower limb prostheses

A. J. Young et al.

JOURNAL OF NEURAL ENGINEERING (2014)

Article Engineering, Biomedical

Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular-Mechanical Fusion

He Huang et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2011)

Article Engineering, Biomedical

Multiclass Real-Time Intent Recognition of a Powered Lower Limb Prosthesis

Huseyin Atakan Varol et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)

Review Physiology

It Pays to Have a Spring in Your Step

Gregory S. Sawicki et al.

EXERCISE AND SPORT SCIENCES REVIEWS (2009)

Article Engineering, Biomedical

A Strategy for Identifying Locomotion Modes Using Surface Electromyography

He Huang et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2009)