A novel hybrid gradient-based optimizer and grey wolf optimizer feature selection method for human activity recognition using smartphone sensors
Human activity recognition (HAR) plays a vital role in different real-world applications such
as in tracking elderly activities for elderly care services, in assisted living environments …
as in tracking elderly activities for elderly care services, in assisted living environments …
Adam or Eve? Automatic users' gender classification via gestures analysis on touch devices
Gender classification of mobile devices' users has drawn a great deal of attention for its
applications in healthcare, smart spaces, biometric-based access control systems and …
applications in healthcare, smart spaces, biometric-based access control systems and …
Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers
Human activity recognition (HAR) is an emerging field that identifies human actions in
different settings. This activity is recognized by sensors placed in the room or residence …
different settings. This activity is recognized by sensors placed in the room or residence …
A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …
Ambient intelligence-based multimodal human action recognition for autonomous systems
Human activity recognition can deduce the behaviour of one or more people from a set of
sensor measurements. Despite its widespread applications in monitoring activities, robotics …
sensor measurements. Despite its widespread applications in monitoring activities, robotics …
Comparison of machine learning techniques for the identification of human activities from inertial sensors available in a mobile device after the application of data …
Human activity recognition (HAR) is a significant research area due to its wide range of
applications in intelligent health systems, security, and entertainment games. Over the past …
applications in intelligent health systems, security, and entertainment games. Over the past …
Leveraging wearable sensors for human daily activity recognition with stacked denoising autoencoders
Activity recognition has received considerable attention in many research fields, such as
industrial and healthcare fields. However, many researches about activity recognition have …
industrial and healthcare fields. However, many researches about activity recognition have …
Are microcontrollers ready for deep learning-based human activity recognition?
A Elsts, R McConville - Electronics, 2021 - mdpi.com
The last decade has seen exponential growth in the field of deep learning with deep
learning on microcontrollers a new frontier for this research area. This paper presents a case …
learning on microcontrollers a new frontier for this research area. This paper presents a case …
Multimodal classification of parkinson's disease in home environments with resiliency to missing modalities
F Heidarivincheh, R McConville, C Morgan… - Sensors, 2021 - mdpi.com
Parkinson's disease (PD) is a chronic neurodegenerative condition that affects a patient's
everyday life. Authors have proposed that a machine learning and sensor-based approach …
everyday life. Authors have proposed that a machine learning and sensor-based approach …
WiSA: Privacy-enhanced WiFi-based activity intensity recognition in smart buildings using personalized federated learning
N Zhu, M Xu, D Zhuang, Y Han - Energy and Buildings, 2024 - Elsevier
The increasing demand for enhanced energy efficiency and occupant comfort in buildings
has led to a focus on developing occupant-centric building control systems. A key aspect of …
has led to a focus on developing occupant-centric building control systems. A key aspect of …