Related references
Note: Only part of the references are listed.Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters
Amir Baghdadi et al.
JOURNAL OF QUALITY TECHNOLOGY (2021)
Machine learning and wearable devices of the future
Sandor Beniczky et al.
EPILEPSIA (2021)
Deep learning for motor imagery EEG-based classification: A review
Ali Al-Saegh et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Smartphone-based human fatigue level detection using machine learning approaches
Swapnali Karvekar et al.
ERGONOMICS (2021)
AnkFall-Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks
Francisco Luna-Perejon et al.
SENSORS (2021)
A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate
Yanran Jiang et al.
SENSORS (2021)
Using Machine Learning and Wearable Inertial Sensor Data for the Classification of Fractal Gait Patterns in Women and Men During Load Carriage
Nizam U. Ahamed et al.
BIG DATA, IOT, AND AI FOR A SMARTER FUTURE (2021)
Fatigue recognition in overhead assembly based on a soft robotic exosuit for worker assistance
Jan Kuschan et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY (2021)
Comprehensive electrocardiographic diagnosis based on deep learning
Oh Shu Lih et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2020)
Physical Fatigue Detection Using Entropy Analysis of Heart Rate Signals
Farnad Nasirzadeh et al.
SUSTAINABILITY (2020)
A data analytic framework for physical fatigue management using wearable sensors
Zahra Sedighi Maman et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
A new approach to detect the physical fatigue utilizing heart rate signals
Mohammad Tayarani Darbandy et al.
RESEARCH IN CARDIOVASCULAR MEDICINE (2020)
Affective State Assistant for Helping Users with Cognition Disabilities Using Neural Networks
Luis Munoz-Saavedra et al.
ELECTRONICS (2020)
Untact: a new customer service strategy in the digital age
Sang M. Lee et al.
SERVICE BUSINESS (2020)
Smart Footwear Insole for Recognition of Foot Pronation and Supination Using Neural Networks
Manuel J. Dominguez-Morales et al.
APPLIED SCIENCES-BASEL (2019)
Wearable Fall Detector Using Recurrent Neural Networks
Francisco Luna-Perejon et al.
SENSORS (2019)
A machine learning approach to detect changes in gait parameters following a fatiguing occupational task
Amir Baghdadi et al.
ERGONOMICS (2018)
A Survey of Wearable Devices and Challenges
Suranga Seneviratne et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2017)
A Study on the Ergonomic Assessment in the Workplace
Kian Sek Tee et al.
ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING: FROM THEORY TO APPLICATIONS (2017)
A data-driven approach to modeling physical using wearable sensors
Zahra Sedighi Maman et al.
APPLIED ERGONOMICS (2017)
The Effect of Fatigue and Fatigue Intensity on Exercise Tolerance in Moderate COPD
Khaled Al-shair et al.
LUNG (2016)
Random multiaxial fatigue: A comparative analysis among selected frequency and time domain fatigue evaluation methods
C. Braccesi et al.
INTERNATIONAL JOURNAL OF FATIGUE (2015)
A feasibility study of using smartphone built-in accelerometers to detect fall portents
Ren-Jye Dzeng et al.
AUTOMATION IN CONSTRUCTION (2014)
Innovative real-time system to integrate ergonomic evaluations into warehouse design and management
Daria Battini et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2014)
Detecting within- and between-day manifestations of neuromuscular fatigue at work: an exploratory study
Marcus Yung et al.
ERGONOMICS (2014)
Innovative system for real-time ergonomic feedback in industrial manufacturing
Nicolas Vignais et al.
APPLIED ERGONOMICS (2013)
Discrete wavelet transform analysis of surface electromyography for the fatigue assessment of neck and shoulder muscles
Suman Kanti Chowdhury et al.
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY (2013)
Classification of Sporting Activities Using Smartphone Accelerometers
Edmond Mitchell et al.
SENSORS (2013)
Monitoring Kinematic Changes With Fatigue in Running Using Body-Worn Sensors
Christina Strohrmann et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2012)
Relationship of fatigue and exercise capacity with emotional and physical state in patients with coronary artery disease admitted for rehabilitation program
Adomas Bunevicius et al.
AMERICAN HEART JOURNAL (2011)
Exercise Therapy for Fibromyalgia
Angela J. Busch et al.
CURRENT PAIN AND HEADACHE REPORTS (2011)
Leg Motion Classification with Artificial Neural Networks Using Wavelet-Based Features of Gyroscope Signals
Birsel Ayrulu-Erdem et al.
SENSORS (2011)
The challenges and opportunities of technological approaches to fatigue management
Thomas J. Balkin et al.
ACCIDENT ANALYSIS AND PREVENTION (2011)
Fatigue in the US workforce: Prevalence and implications for lost productive work time
Judith A. Ricci et al.
JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE (2007)
Classification of waist-acceleration signals in a continuous walking record
M Sekine et al.
MEDICAL ENGINEERING & PHYSICS (2000)
Share Paper
