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 …
A survey on health monitoring systems for health smart homes
Aging population ratios are rising significantly. Health monitoring systems (HMS) in smart
environments have evolved rapidly to become a viable alternative to traditional healthcare …
environments have evolved rapidly to become a viable alternative to traditional healthcare …
Creating and benchmarking a new dataset for physical activity monitoring
A Reiss, D Stricker - Proceedings of the 5th international conference on …, 2012 - dl.acm.org
Physical activity monitoring has recently become an important field in wearable computing
research. However, there is a lack of a commonly used, standard dataset and established …
research. However, there is a lack of a commonly used, standard dataset and established …
Human activity recognition based on Gramian angular field and deep convolutional neural network
With the development of the Internet of things (IoT) and wearable devices, the sensor-based
human activity recognition (HAR) has attracted more and more attentions from researchers …
human activity recognition (HAR) has attracted more and more attentions from researchers …
Human activity recognition using multisensor data fusion based on reservoir computing
Activity recognition plays a key role in providing activity assistance and care for users in
smart homes. In this work, we present an activity recognition system that classifies in the …
smart homes. In this work, we present an activity recognition system that classifies in the …
Activity recognition with evolving data streams: A review
ZS Abdallah, MM Gaber, B Srinivasan… - ACM Computing …, 2018 - dl.acm.org
Activity recognition aims to provide accurate and opportune information on people's
activities by leveraging sensory data available in today's sensory rich environments …
activities by leveraging sensory data available in today's sensory rich environments …
SmartWall: Novel RFID-enabled ambient human activity recognition using machine learning for unobtrusive health monitoring
Human activity recognition (HAR) from sensor readings has proved to be an effective
approach in pervasive computing for smart healthcare. Recent approaches in ambient …
approach in pervasive computing for smart healthcare. Recent approaches in ambient …
Sensor data acquisition and processing parameters for human activity classification
It is known that parameter selection for data sampling frequency and segmentation
techniques (including different methods and window sizes) has an impact on the …
techniques (including different methods and window sizes) has an impact on the …
Toward personalized activity recognition systems with a semipopulation approach
Activity recognition is a key component of context-aware computing to support people's
physical activity, but conventional approaches often lack in their generalizability and …
physical activity, but conventional approaches often lack in their generalizability and …
[HTML][HTML] 1D Convolution approach to human activity recognition using sensor data and comparison with machine learning algorithms
K Muralidharan, A Ramesh, G Rithvik, S Prem… - International Journal of …, 2021 - Elsevier
Abstract Human Activity Recognition (HAR) has emerged as a major player in this era of
cutting-edge technological advancement. A key role that HAR plays is its ability to remotely …
cutting-edge technological advancement. A key role that HAR plays is its ability to remotely …