Related references
Note: Only part of the references are listed.The antecedents and results of seniors' use of activity tracking wearable devices
Mohamed Abouzahra et al.
HEALTH POLICY AND TECHNOLOGY (2020)
A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data
Yiwen Meng et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health
Ksenia Sergueeva et al.
CANADIAN JOURNAL OF ADMINISTRATIVE SCIENCES-REVUE CANADIENNE DES SCIENCES DE L ADMINISTRATION (2020)
User acceptance of smart wearable devices: An expectation-confirmation model approach
Eunil Park
TELEMATICS AND INFORMATICS (2020)
Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach
Md. Shamim Talukder et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2020)
E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation
Armando Papa et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2020)
Use of Wearable Activity Trackers to Improve Physical Activity Behavior in Patients With Rheumatic and Musculoskeletal Diseases: A Systematic Review and Meta-Analysis
Thomas Davergne et al.
ARTHRITIS CARE & RESEARCH (2019)
Machine Learning Algorithms Can Use Wearable Sensor Data to Accurately Predict Six-Week Patient-Reported Outcome Scores Following Joint Replacement in a Prospective Trial
Stefano A. Bini et al.
JOURNAL OF ARTHROPLASTY (2019)
Using Physical Activity Trackers in Arthritis Self-Management: A Qualitative Study of Patient and Rehabilitation Professional Perspectives
Jenny Leese et al.
ARTHRITIS CARE & RESEARCH (2019)
A review on intelligent wearables: Uses and risks
Yukang Xue
HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES (2019)
I Must Try Harder: Design Implications for Mobile Apps and Wearables Contributing to Self-Efficacy of Patients With Chronic Conditions
Sharon Wulfovich et al.
FRONTIERS IN PSYCHOLOGY (2019)
Privacy Issues and Solutions for Consumer Wearables
Alfredo J. Perez et al.
IT PROFESSIONAL (2018)
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Henry Friday Nweke et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Wearable activity trackers in cardiovascular research
Ivone Leong
NATURE REVIEWS ENDOCRINOLOGY (2018)
Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk
Eliasz Kantoch
SENSORS (2018)
Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker
Sang Yup Lee et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2018)
How do consumers think about hybrid products? Computer wearables have an identity problem
Marzena E. Nieroda et al.
JOURNAL OF BUSINESS RESEARCH (2018)
The promising future of healthcare services: When big data analytics meets wearable technology
Jing Wu et al.
INFORMATION & MANAGEMENT (2016)
Wearable technologies: The role of usefulness and visibility in smartwatch adoption
Stephanie Hui-Wen Chuah et al.
COMPUTERS IN HUMAN BEHAVIOR (2016)
Wearable Devices as Facilitators, Not Drivers, of Health Behavior Change
Mitesh S. Patel et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2015)
Share Paper
