Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks
In today's healthcare setting, the accurate and timely diagnosis of breast cancer is critical for
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …
recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has …
A multi-resolution fusion approach for human activity recognition from video data in tiny edge devices
Abstract Human Activity Recognition (HAR) is the process of automatic recognition of
Activities of Daily Living (ADL) from human motion data captured in various data modalities …
Activities of Daily Living (ADL) from human motion data captured in various data modalities …
An efficient hybrid LSTM-ANN joint classification-regression model for PPG based blood pressure monitoring
This paper investigates the importance of classification in optimizing the estimation accuracy
of blood pressure (BP) using photoplethysmography (PPG) signal features, with the aim of …
of blood pressure (BP) using photoplethysmography (PPG) signal features, with the aim of …
Hybrid inceptionv3-svm-based approach for human posture detection in health monitoring systems
Posture detection targets toward providing assessments for the monitoring of the health and
welfare of humans have been of great interest to researchers from different disciplines. The …
welfare of humans have been of great interest to researchers from different disciplines. The …
[PDF][PDF] Edge device for movement pattern classification using neural network algorithms
Portable electronic systems allow the analysis and monitoring of continuous time signals,
such as human activity, integrating deep learning techniques with cloud computing, causing …
such as human activity, integrating deep learning techniques with cloud computing, causing …
In-depth analysis of design & development for sensor-based human activity recognition system
NA Choudhury, B Soni - Multimedia Tools and Applications, 2023 - Springer
Abstract Human Activity Recognition (HAR) has gained much attention since sensor
technology has become more advanced and cost-effective. HAR is a process of identifying …
technology has become more advanced and cost-effective. HAR is a process of identifying …
[HTML][HTML] Do we need early exit networks in human activity recognition?
Deep learning is nowadays considered state-of-the-art technology in many applications
thanks to huge performance capabilities. However, the accuracy levels that can be obtained …
thanks to huge performance capabilities. However, the accuracy levels that can be obtained …
[HTML][HTML] Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition
E Lattanzi, L Calisti, P Capellacci - Pervasive and Mobile Computing, 2023 - Elsevier
Wearable devices have become increasingly popular in recent years, and they offer a great
opportunity for sensor-based continuous human activity recognition in real-world scenarios …
opportunity for sensor-based continuous human activity recognition in real-world scenarios …
Classifying Participant Standing and Sitting Postures Using Channel State Information
Recently, channel state information (CSI) has been identified as beneficial in a wide range
of applications, ranging from human activity recognition (HAR) to patient monitoring …
of applications, ranging from human activity recognition (HAR) to patient monitoring …
Unstructured handwashing recognition using smartwatch to reduce contact transmission of pathogens
Current guidelines from the World Health Organization indicate that the SARS-CoV-2
coronavirus, which results in the novel coronavirus disease (COVID-19), is transmitted …
coronavirus, which results in the novel coronavirus disease (COVID-19), is transmitted …