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 …
A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …
especially due to the spread of electronic devices such as smartphones, smartwatches and …
Internet of things for smart healthcare: Technologies, challenges, and opportunities
Internet of Things (IoT) technology has attracted much attention in recent years for its
potential to alleviate the strain on healthcare systems caused by an aging population and a …
potential to alleviate the strain on healthcare systems caused by an aging population and a …
Human activity recognition using marine predators algorithm with deep learning
In the era of smart life, tracking human activities and motion can play a significant role in the
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …
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 …
Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition
Existing vision-based action recognition is susceptible to occlusion and appearance
variations, while wearable sensors can alleviate these challenges by capturing human …
variations, while wearable sensors can alleviate these challenges by capturing human …
Human activity classification in smartphones using accelerometer and gyroscope sensors
A Jain, V Kanhangad - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
Activity classification in smartphones helps us to monitor and analyze the physical activities
of the user in daily life and has potential applications in healthcare systems. This paper …
of the user in daily life and has potential applications in healthcare systems. This paper …
A survey of human gait-based artificial intelligence applications
EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
Robust human activity recognition using multimodal feature-level fusion
Automated recognition of human activities or actions has great significance as it
incorporates wide-ranging applications, including surveillance, robotics, and personal …
incorporates wide-ranging applications, including surveillance, robotics, and personal …