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 …
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 …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
Enhanced human activity recognition based on smartphone sensor data using hybrid feature selection model
Human activity recognition (HAR) techniques are playing a significant role in monitoring the
daily activities of human life such as elderly care, investigation activities, healthcare, sports …
daily activities of human life such as elderly care, investigation activities, healthcare, sports …
Attention-based convolutional neural network for weakly labeled human activities' recognition with wearable sensors
Traditional methods of human activity recognition usually require a large amount of strictly
labeled data for training classifiers. However, it is hard for one to keep a fixed activity when …
labeled data for training classifiers. However, it is hard for one to keep a fixed activity when …
Edge intelligence: Architectures, challenges, and applications
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …
caching, processing, and analysis in locations close to where data is captured based on …
A survey of deep learning on mobile devices: Applications, optimizations, challenges, and research opportunities
Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …
powerful computers and servers. Recently, with the advancement of more powerful mobile …
Real-time human action recognition with a low-cost RGB camera and mobile robot platform
J Lee, B Ahn - Sensors, 2020 - mdpi.com
Human action recognition is an important research area in the field of computer vision that
can be applied in surveillance, assisted living, and robotic systems interacting with people …
can be applied in surveillance, assisted living, and robotic systems interacting with people …
Assistive conversational agent for health coaching: a validation study
A Fadhil, Y Wang, H Reiterer - Methods of information in …, 2019 - thieme-connect.com
Objective Poor lifestyle represents a health risk factor and is the leading cause of morbidity
and chronic conditions. The impact of poor lifestyle can be significantly altered by …
and chronic conditions. The impact of poor lifestyle can be significantly altered by …
IoT sensor-based activity recognition
The accelerometer was invented in 1783. Though the initial purpose of using accelerometer
was to validate the principles of Newtonian physics, with the advancement of the technology …
was to validate the principles of Newtonian physics, with the advancement of the technology …