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 …
Ensem-HAR: An ensemble deep learning model for smartphone sensor-based human activity recognition for measurement of elderly health monitoring
Biomedical images contain a huge number of sensor measurements that can provide
disease characteristics. Computer-assisted analysis of such parameters aids in the early …
disease characteristics. Computer-assisted analysis of such parameters aids in the early …
EnsemConvNet: a deep learning approach for human activity recognition using smartphone sensors for healthcare applications
Abstract Human Activity Recognition (HAR) can be defined as the automatic prediction of the
regular human activities performed in our day-to-day life, such as walking, running, cooking …
regular human activities performed in our day-to-day life, such as walking, running, cooking …
A new framework for smartphone sensor-based human activity recognition using graph neural network
R Mondal, D Mukherjee, PK Singh… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Automatic human activity recognition (HAR) through computing devices is a challenging
research topic in the domain of computer vision. It has widespread applications in various …
research topic in the domain of computer vision. It has widespread applications in various …
A robust feature extraction model for human activity characterization using 3-axis accelerometer and gyroscope data
Human Activity Recognition (HAR) using embedded sensors in smartphones and
smartwatch has gained popularity in extensive applications in health care monitoring of …
smartwatch has gained popularity in extensive applications in health care monitoring of …
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition
Human activity recognition (HAR) in wearable and ubiquitous computing typically involves
translating sensor readings into feature representations, either derived through dedicated …
translating sensor readings into feature representations, either derived through dedicated …
A smartphone lightweight method for human activity recognition based on information theory
Smartphones have emerged as a revolutionary technology for monitoring everyday life, and
they have played an important role in Human Activity Recognition (HAR) due to its ubiquity …
they have played an important role in Human Activity Recognition (HAR) due to its ubiquity …
[HTML][HTML] Improving the performance and explainability of indoor human activity recognition in the internet of things environment
Traditional indoor human activity recognition (HAR) has been defined as a time-series data
classification problem and requires feature extraction. The current indoor HAR systems still …
classification problem and requires feature extraction. The current indoor HAR systems still …
A systematic review of smartphone-based human activity recognition for health research
Background: Smartphones are now nearly ubiquitous; their numerous built-in sensors
enable continuous measurement of activities of daily living, making them especially well …
enable continuous measurement of activities of daily living, making them especially well …
Smartphone-aided human activity recognition method using residual multi-layer perceptron
Human activity recognition (HAR) has received intensely attention in many applications,
such as healthcare, human-computer interaction, and smart home. Existing HAR methods …
such as healthcare, human-computer interaction, and smart home. Existing HAR methods …