[HTML][HTML] Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
Machine learning for microcontroller-class hardware: A review
The advancements in machine learning (ML) opened a new opportunity to bring intelligence
to the low-end Internet-of-Things (IoT) nodes, such as microcontrollers. Conventional ML …
to the low-end Internet-of-Things (IoT) nodes, such as microcontrollers. Conventional ML …
A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
Tinyodom: Hardware-aware efficient neural inertial navigation
Deep inertial sequence learning has shown promising odometric resolution over model-
based approaches for trajectory estimation in GPS-denied environments. However, existing …
based approaches for trajectory estimation in GPS-denied environments. However, existing …
A deep local-temporal architecture with attention for lightweight human activity recognition
Abstract Human Activity Recognition (HAR) is an essential area of pervasive computing
deployed in numerous fields. In order to seamlessly capture human activities, various inertial …
deployed in numerous fields. In order to seamlessly capture human activities, various inertial …
UWHear: Through-wall extraction and separation of audio vibrations using wireless signals
An ability to detect, classify, and locate complex acoustic events can be a powerful tool to
help smart systems build context-awareness, eg, to make rich inferences about human …
help smart systems build context-awareness, eg, to make rich inferences about human …
Auritus: An open-source optimization toolkit for training and development of human movement models and filters using earables
Smart ear-worn devices (called earables) are being equipped with various onboard sensors
and algorithms, transforming earphones from simple audio transducers to multi-modal …
and algorithms, transforming earphones from simple audio transducers to multi-modal …
Gene selection of microarray data using heatmap analysis and graph neural network
SK Pati, A Banerjee, S Manna - Applied Soft Computing, 2023 - Elsevier
It is not feasible to investigate the whole genes at a microscopic level for disease
classification in Genomics. It might take substantial time to execute any meaningful analysis …
classification in Genomics. It might take substantial time to execute any meaningful analysis …
Locomote: Ai-driven sensor tags for fine-grained undersea localization and sensing
Long-term and fine-grained maritime localization and sensing are challenging due to
sporadic connectivity, constrained power budget, limited footprint, and hostile environment …
sporadic connectivity, constrained power budget, limited footprint, and hostile environment …
Summary of the Cooking Activity Recognition Challenge
Abstract Cooking Activity Recognition Challenge [1] is organized as a part of ABC2020 [2]. In
this work, we analyze and summarize the approaches of submissions of the Challenge. A …
this work, we analyze and summarize the approaches of submissions of the Challenge. A …