4.6 Article

A Wearable Gait Phase Detection System Based on Force Myography Techniques

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Force Exertion Affects Grasp Classification Using Force Myography

Xianta Jiang et al.

IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (2018)

Article Engineering, Biomedical

Exploration of Force Myography and surface Electromyography in hand gesture classification

Xianta Jiang et al.

MEDICAL ENGINEERING & PHYSICS (2017)

Article Engineering, Biomedical

Continuous Prediction of Finger Movements Using Force Myography

Anita Kadkhodayan et al.

JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2016)

Review Chemistry, Analytical

Gait Partitioning Methods: A Systematic Review

Juri Taborri et al.

SENSORS (2016)

Review Neurosciences

Summary measures for clinical gait analysis: A literature review

Veronica Cimolin et al.

GAIT & POSTURE (2014)

Article Engineering, Biomedical

Towards the development of a wearable feedback system for monitoring the activities of the upper-extremities

Zhen G. Xiao et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2014)

Article Engineering, Biomedical

Gait event detection for use in FES rehabilitation by radial and tangential foot accelerations

Jan Rueterbories et al.

MEDICAL ENGINEERING & PHYSICS (2014)

Article Chemistry, Analytical

A Wireless Flexible Sensorized Insole for Gait Analysis

Simona Crea et al.

SENSORS (2014)

Article Computer Science, Information Systems

Online Decoding of Hidden Markov Models for Gait Event Detection Using Foot-Mounted Gyroscopes

Andrea Mannini et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2014)

Article Computer Science, Artificial Intelligence

Feature reduction and selection for EMG signal classification

Angkoon Phinyomark et al.

EXPERT SYSTEMS WITH APPLICATIONS (2012)

Article Engineering, Multidisciplinary

Combined Use of FSR Sensor Array and SVM Classifier for Finger Motion Recognition Based on Pressure Distribution Map

Nan Li et al.

JOURNAL OF BIONIC ENGINEERING (2012)

Article Multidisciplinary Sciences

Stance and swing phase costs in human walking

Brian R. Umberger

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2010)

Article Neurosciences

Detection of gait events using an F-Scan in-shoe pressure measurement system

Paola Catalfamo et al.

GAIT & POSTURE (2008)

Article Public, Environmental & Occupational Health

Precision and accuracy of an ankle-wom accelerometer-based pedometer in step counting and energy expenditure

RC Foster et al.

PREVENTIVE MEDICINE (2005)

Article Engineering, Biomedical

Gait assessment in Parkinson's disease: Toward an ambulatory system for long-term monitoring

A Salarian et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2004)

Article Engineering, Biomedical

A robust, real-time control scheme for multifunction myoelectric control

K Englehart et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2003)

Article Engineering, Biomedical

A reliable gait phase detection system

IPI Pappas et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2001)

Article Engineering, Biomedical

Real-time gait event detection for paraplegic FES walking

MM Skelly et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2001)