Advanced internet of things for personalised healthcare systems: A survey
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …
new research topic in many academic and industrial disciplines, especially in healthcare …
Measurement of physical activity in clinical practice using accelerometers
D Arvidsson, J Fridolfsson… - Journal of internal …, 2019 - Wiley Online Library
Accelerometers are commonly used in clinical and epidemiological research for more
detailed measures of physical activity and to target the limitations of self‐report methods …
detailed measures of physical activity and to target the limitations of self‐report methods …
Sensor-based datasets for human activity recognition–a systematic review of literature
The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …
recognition systems (ARS) based on human activity recognition (HAR). These systems …
Wearable sensors based human behavioral pattern recognition using statistical features and reweighted genetic algorithm
MAK Quaid, A Jalal - Multimedia Tools and Applications, 2020 - Springer
Human behavior pattern recognition (BPR) from accelerometer signals is a challenging
problem due to variations in signal durations of different behaviors. Analysis of human …
problem due to variations in signal durations of different behaviors. Analysis of human …
[HTML][HTML] Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …
State of the science and recommendations for using wearable technology in sleep and circadian research
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields,
including for applications across other disciplines, inclusive of a variety of disease states …
including for applications across other disciplines, inclusive of a variety of disease states …
An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Measure (PARM) has …
with many rehabilitation programs, Physical Activity Recognition and Measure (PARM) has …
[HTML][HTML] Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches
Background Objective measures using accelerometer-based activity monitors have been
extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure …
extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure …
[HTML][HTML] Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms
Purpose Machine-learning (ML) approaches have been repeatedly coupled with raw
accelerometry to classify physical activity classes, but the features required to optimize their …
accelerometry to classify physical activity classes, but the features required to optimize their …
Kinect and wearable inertial sensors for motor rehabilitation programs at home: State of the art and an experimental comparison
Background Emerging sensing and communication technologies are contributing to the
development of many motor rehabilitation programs outside the standard healthcare …
development of many motor rehabilitation programs outside the standard healthcare …