Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
A systematic review of smartphone-based human activity recognition methods for health research
Smartphones are now nearly ubiquitous; their numerous built-in sensors enable continuous
measurement of activities of daily living, making them especially well-suited for health …
measurement of activities of daily living, making them especially well-suited for health …
Edge-cloud computing for Internet of Things data analytics: Embedding intelligence in the edge with deep learning
Rapid growth in numbers of connected devices including sensors, mobile, wearable, and
other Internet of Things (IoT) devices, is creating an explosion of data that are moving across …
other Internet of Things (IoT) devices, is creating an explosion of data that are moving across …
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 …
Deep neural networks for human activity recognition with wearable sensors: Leave-one-subject-out cross-validation for model selection
Human Activity Recognition (HAR) has been attracting significant research attention
because of the increasing availability of environmental and wearable sensors for collecting …
because of the increasing availability of environmental and wearable sensors for collecting …
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) …
A public domain dataset for real-life human activity recognition using smartphone sensors
In recent years, human activity recognition has become a hot topic inside the scientific
community. The reason to be under the spotlight is its direct application in multiple domains …
community. The reason to be under the spotlight is its direct application in multiple domains …
[HTML][HTML] The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A sco** review
To determine the applications of machine learning (ML) techniques used for the primary
prevention of work-related musculoskeletal disorders (WMSDs), a sco** review was …
prevention of work-related musculoskeletal disorders (WMSDs), a sco** review was …
Trends in human activity recognition using smartphones
Recognizing human activities and monitoring population behavior are fundamental needs of
our society. Population security, crowd surveillance, healthcare support and living …
our society. Population security, crowd surveillance, healthcare support and living …
HARTH: a human activity recognition dataset for machine learning
Existing accelerometer-based human activity recognition (HAR) benchmark datasets that
were recorded during free living suffer from non-fixed sensor placement, the usage of only …
were recorded during free living suffer from non-fixed sensor placement, the usage of only …