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 …
Wearable sensor‐based human activity recognition in the smart healthcare system
Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …
demands in many areas. Applications of HAR include healthcare systems to monitor …
A deep learning approach to on-node sensor data analytics for mobile or wearable devices
The increasing popularity of wearable devices in recent years means that a diverse range of
physiological and functional data can now be captured continuously for applications in …
physiological and functional data can now be captured continuously for applications in …
Deep learning for human activity recognition: A resource efficient implementation on low-power devices
Human Activity Recognition provides valuable contextual information for wellbeing,
healthcare, and sport applications. Over the past decades, many machine learning …
healthcare, and sport applications. Over the past decades, many machine learning …
Human activity recognition by combining external features with accelerometer sensor data using deep learning network model
Abstract Various Human Activities are classified through time-series data generated by the
sensors of wearable devices. Many real-time scenarios such as Healthcare Surveillance …
sensors of wearable devices. Many real-time scenarios such as Healthcare Surveillance …
Human action recognition systems: A review of the trends and state-of-the-art
Human action recognition (HAR), deeply rooted in computer vision, video surveillance,
automated observation, and human-computer interaction (HCI), enables precise …
automated observation, and human-computer interaction (HCI), enables precise …
A boosting framework for human posture recognition using spatio-temporal features along with radon transform
Automatic human posture recognition in surveillance videos has real world applications in
monitoring old-homes, restoration centers, hospitals, disability, and child-care centers. It also …
monitoring old-homes, restoration centers, hospitals, disability, and child-care centers. It also …
Multi-label classification for physical activity recognition from various accelerometer sensor positions
R Mohamed, MNS Zainudin… - … of Information and …, 2018 - e-journal.uum.edu.my
In recent years, the use of accelerometers embedded in smartphones for Human Activity
Recognition (HAR) has been well considered. Nevertheless, the role of the sensor …
Recognition (HAR) has been well considered. Nevertheless, the role of the sensor …
[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 …
Human activity recognition using a multi-branched CNN-BiLSTM-BiGRU model
P Lalwani, G Ramasamy - Applied Soft Computing, 2024 - Elsevier
Human behaviour analysis, human–computer interaction, and pervasive computing are
three areas where human activity recognition has recently attracted a lot of attention. Recent …
three areas where human activity recognition has recently attracted a lot of attention. Recent …