A survey of human activity recognition in smart homes based on IoT sensors algorithms: Taxonomies, challenges, and opportunities with deep learning
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …
sensors have encouraged the development of smart environments, such as smart homes …
A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
Lstm networks using smartphone data for sensor-based human activity recognition in smart homes
S Mekruksavanich, A Jitpattanakul - Sensors, 2021 - mdpi.com
Human Activity Recognition (HAR) employing inertial motion data has gained considerable
momentum in recent years, both in research and industrial applications. From the abstract …
momentum in recent years, both in research and industrial applications. From the abstract …
iSPLInception: an inception-ResNet deep learning architecture for human activity recognition
Advances in deep learning (DL) model design have pushed the boundaries of the areas in
which it can be applied. The fields with an immense availability of complex big data have …
which it can be applied. The fields with an immense availability of complex big data have …
Machine learning methods in smart lighting toward achieving user comfort: a survey
Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …
Internet of things (IoT) based activity recognition strategies in smart homes: a review
L Babangida, T Perumal, N Mustapha… - IEEE sensors …, 2022 - ieeexplore.ieee.org
A smart home, which is an extension of a traditional home, is equipped with ubiquitous
sensors embedded in consumer appliances, connected via sensing technologies such as …
sensors embedded in consumer appliances, connected via sensing technologies such as …
Sensing technology for human activity recognition: A comprehensive survey
Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …
important to gain knowledge about human activities. Human Activity recognition plays an …
Wearable sensor-based pattern mining for human activity recognition: Deep learning approach
Purpose This paper aims to deal with the human activity recognition using human gait
pattern. The paper has considered the experiment results of seven different activities: normal …
pattern. The paper has considered the experiment results of seven different activities: normal …
Deep learning based fall detection using smartwatches for healthcare applications
We implement a smart watch-based system to predict fall detection. We differentiate fall
detection from four common daily activities: sitting, squatting, running, and walking …
detection from four common daily activities: sitting, squatting, running, and walking …
Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview
Human lower limb activity recognition (HLLAR) has grown in popularity over the last decade
mainly because to its applications in the identification and control of neuromuscular …
mainly because to its applications in the identification and control of neuromuscular …