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A Neural Network Based Approach to Inverse Kinematics Problem for General Six-Axis Robots

Sensors (Basel, Switzerland), 2022-11, Vol.22 (22), p.8909

2022

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Exploration of Force Myography and surface Electromyography in hand gesture classification

Medical engineering & physics, 2017-03, Vol.41, p.63-73

2017

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A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1504

2021

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The effectiveness of simple heuristic features in sensor orientation and placement problems in human activity recognition using a single smartphone accelerometer

Biomedical engineering online, 2024-02, Vol.23 (1), p.21-21, Article 21

2024

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Estimating Vertical Ground Reaction Force during Walking Using a Single Inertial Sensor

Sensors (Basel, Switzerland), 2020-08, Vol.20 (15), p.4345

2020

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Exploring Tactile Temporal Features for Object Pose Estimation during Robotic Manipulation

Sensors (Basel, Switzerland), 2023-05, Vol.23 (9), p.4535

2023

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Integrating Eye-Tracking to Augmented Reality System for Surgical Training

Journal of medical systems, 2020-09, Vol.44 (11), p.192-192, Article 192

2020

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Estimation of Ankle Joint Power during Walking Using Two Inertial Sensors

Sensors (Basel, Switzerland), 2019-06, Vol.19 (12), p.2796

2019

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A Wearable Gait Phase Detection System Based on Force Myography Techniques

Sensors (Basel, Switzerland), 2018-04, Vol.18 (4), p.1279

2018

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Workload assessment of surgeons: correlation between NASA TLX and blinks

Surgical endoscopy, 2012-10, Vol.26 (10), p.2746-2750

2012

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Phase-Based Grasp Classification for Prosthetic Hand Control Using sEMG

Biosensors (Basel), 2022-01, Vol.12 (2), p.57

2022

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Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition

Biosensors (Basel), 2022-07, Vol.12 (7), p.549

2022

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Deep Learning Techniques in Estimating Ankle Joint Power Using Wearable IMUs

IEEE access, 2021, Vol.9, p.83041-83054

2021

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Editorial: Biosignal-based human–computer interfaces

Frontiers in computer science (Lausanne), 2023-08, Vol.5

2023

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Building Effective Machine Learning Models for Ankle Joint Power Estimation During Walking Using FMG Sensors

Frontiers in neurorobotics, 2022-04, Vol.16, p.836779-836779

2022

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Feature–Classifier Pairing Compatibility for sEMG Signals in Hand Gesture Recognition under Joint Effects of Processing Procedures

Bioengineering (Basel), 2022-11, Vol.9 (11), p.634

2022

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Unsupervised, Semi-supervised Interactive Force Estimations during pHRI via Generated Synthetic Force Myography Signals

IEEE access, 2022, Vol.10, p.1-1

2022

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DL-Net: Sparsity Prior Learning for Grasp Pattern Recognition

IEEE access, 2023, Vol.11, p.6444-6451

2023

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Machine learning classification of multiple sclerosis patients based on raw data from an instrumented walkway

Biomedical engineering online, 2022-03, Vol.21 (1), p.21-21, Article 21

2022

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Estimation of User-Applied Isometric Force/Torque Using Upper Extremity Force Myography

Frontiers in robotics and AI, 2019-11, Vol.6, p.120-120

2019

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Integrating computer vision to prosthetic hand control with sEMG: Preliminary results in grasp classification

Frontiers in robotics and AI, 2022-09, Vol.9, p.948238-948238

2022

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Force Myography for Monitoring Grasping in Individuals with Stroke with Mild to Moderate Upper-Extremity Impairments: A Preliminary Investigation in a Controlled Environment

Frontiers in bioengineering and biotechnology, 2017-07, Vol.5, p.42-42

2017

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Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis

Frontiers in artificial intelligence, 2022-09, Vol.5, p.952312-952312

2022

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Force Exertion Affects Grasp Classification Using Force Myography

IEEE transactions on human-machine systems, 2018-04, Vol.48 (2), p.219-226

2018

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Wearable step counting using a force myography-based ankle strap

Journal of rehabilitation and assistive technologies engineering, 2017-01, Vol.4, p.2055668317746307-2055668317746307

2017

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A Neural Network Based Approach to Inverse Kinematics Problem for General Six-Axis Robots

Exploration of Force Myography and surface Electromyography in hand gesture classification

A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance

The effectiveness of simple heuristic features in sensor orientation and placement problems in human activity recognition using a single smartphone accelerometer

Estimating Vertical Ground Reaction Force during Walking Using a Single Inertial Sensor

Exploring Tactile Temporal Features for Object Pose Estimation during Robotic Manipulation

Integrating Eye-Tracking to Augmented Reality System for Surgical Training

Estimation of Ankle Joint Power during Walking Using Two Inertial Sensors

A Wearable Gait Phase Detection System Based on Force Myography Techniques

Workload assessment of surgeons: correlation between NASA TLX and blinks

Phase-Based Grasp Classification for Prosthetic Hand Control Using sEMG

Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition

Deep Learning Techniques in Estimating Ankle Joint Power Using Wearable IMUs

Editorial: Biosignal-based human–computer interfaces

Building Effective Machine Learning Models for Ankle Joint Power Estimation During Walking Using FMG Sensors

Feature–Classifier Pairing Compatibility for sEMG Signals in Hand Gesture Recognition under Joint Effects of Processing Procedures

Unsupervised, Semi-supervised Interactive Force Estimations during pHRI via Generated Synthetic Force Myography Signals

DL-Net: Sparsity Prior Learning for Grasp Pattern Recognition

Machine learning classification of multiple sclerosis patients based on raw data from an instrumented walkway

Estimation of User-Applied Isometric Force/Torque Using Upper Extremity Force Myography

Integrating computer vision to prosthetic hand control with sEMG: Preliminary results in grasp classification

Force Myography for Monitoring Grasping in Individuals with Stroke with Mild to Moderate Upper-Extremity Impairments: A Preliminary Investigation in a Controlled Environment

Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis

Force Exertion Affects Grasp Classification Using Force Myography

Wearable step counting using a force myography-based ankle strap

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