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View article: Inference-Driven Window Sizing for Enhanced Human Activity Recognition in IoT Devices
Inference-Driven Window Sizing for Enhanced Human Activity Recognition in IoT Devices Open
Human activity recognition in the Internet of Things devices has become a pivotal area of research in health monitoring, fitness tracking, and smart homes, especially with the increasing use of wearable and smart devices equipped with iner…
View article: Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network
Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network Open
Human activity recognition plays a pivotal role in various fields, such as healthcare monitoring, smart environments, and human-computer interaction. In this study, we propose a novel approach for sensor-based human activity recognition.Th…
View article: Energy-aware human activity recognition for wearable devices: A comprehensive review
Energy-aware human activity recognition for wearable devices: A comprehensive review Open
With the rapid advancement of wearable devices, sensor-based human activity recognition has emerged as a fundamental research area with broad applications in various domains. While significant progress has been made in this research field,…
View article: A power-aware vision-based virtual sensor for real-time edge computing
A power-aware vision-based virtual sensor for real-time edge computing Open
Graphics processing units and tensor processing units coupled with tiny machine learning models deployed on edge devices are revolutionizing computer vision and real-time tracking systems. However, edge devices pose tight resource and powe…
View article: EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices
EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices Open
As the deployment of artificial intelligence applications continues to expand, the demand for energy-efficient models tailored for resource-constrained devices has become increasingly critical. This paper introduces a novel approach to add…
View article: Privacy preservation in sensor-based Human Activity Recognition through autoencoders for low-power IoT devices
Privacy preservation in sensor-based Human Activity Recognition through autoencoders for low-power IoT devices Open
Human activity recognition is increasingly recognized as a key task in many applications. However, gathering data from the variety of sensors commonly available on end devices risks compromising user’s privacy when signals are transmitted …
View article: TRUSTSENSE 2024: TRUSTSENSE 2024: 1st International Workshop on Pervasive Computing Challenges in Trustable Crowdsensing Systems - Program
TRUSTSENSE 2024: TRUSTSENSE 2024: 1st International Workshop on Pervasive Computing Challenges in Trustable Crowdsensing Systems - Program Open
View article: A Power-aware Vision-based Virtual Sensor for Real-Time Edge Computing
A Power-aware Vision-based Virtual Sensor for Real-Time Edge Computing Open
Graphics Processing Units and Tensor Processing Units coupled with tiny machine learning models deployed on edge devices are revolutionizing computer vision and real-time tracking systems. However, edge devices often pose constraints regar…
View article: Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network
Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network Open
View article: Real-Time Energy-Efficient Sensor Libraries for Wearable Devices
Real-Time Energy-Efficient Sensor Libraries for Wearable Devices Open
The growing popularity of wearable technology has led to a surge in smartwatch usage among the general public. These devices offer a range of features, including internet connectivity, fitness tracking, and real-time notifications, making …
View article: A Low-Cost IoT Sensor for Indoor Monitoring with Prediction-Based Data Collection
A Low-Cost IoT Sensor for Indoor Monitoring with Prediction-Based Data Collection Open
View article: A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices
A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices Open
Integrating machine learning techniques with edge computing devices powered by Graphics Processing Units and Tensor Processing Units has revolutionized computer vision and real-time tracking systems. Object detection and motion tracking, c…
View article: Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition
Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition Open
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. However, one of the major challenges is their limited bat…
View article: Real-time Energy-efficient Sensor Libraries for Wearable Devices
Real-time Energy-efficient Sensor Libraries for Wearable Devices Open
The growing popularity of wearable technology has led to a surge in smartwatch usage among the general public. These devices offer a range of features, including internet connectivity, fitness tracking, and real-time notifications, making …
View article: Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition
Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition Open
Tiny wearable devices are nowadays one of the most popular and used devices in everyday life. At the same time, machine learning techniques have reached a level of maturity such that they can be used in the most varied fields. The union of…
View article: Do we need early exit networks in human activity recognition?
Do we need early exit networks in human activity recognition? Open
View article: On the Decentralization of Health Systems for Data Availability: a DLT-based Architecture
On the Decentralization of Health Systems for Data Availability: a DLT-based Architecture Open
Mobile devices entered people's lives by leaps and bounds, offering various applications relying on private third-party entities to manage their users' data. Centralized control of personal health data endangers the privacy of the users di…
View article: A Study on the Application of TensorFlow Compression Techniques to Human Activity Recognition
A Study on the Application of TensorFlow Compression Techniques to Human Activity Recognition Open
In the human activity recognition (HAR) application domain, the use of deep learning (DL) algorithms for feature extractions and training purposes delivers significant performance improvements with respect to the use of traditional machine…
View article: Lightweight Accurate Trigger to Reduce Power Consumption in Sensor-Based Continuous Human Activity Recognition
Lightweight Accurate Trigger to Reduce Power Consumption in Sensor-Based Continuous Human Activity Recognition Open
View article: A Machine Learning Enabled Hall-Effect IoT-System for Monitoring Building Vibrations
A Machine Learning Enabled Hall-Effect IoT-System for Monitoring Building Vibrations Open
Vibration monitoring of civil infrastructures is a fundamental task to assess their structural health, which can be nowadays carried on at reduced costs thanks to new sensing devices and embedded hardware platforms. In this work, we presen…
View article: Privacy Preservation in Sensor-Based Human Activity Recognition Through Autoencoders for Low-Power Iot Devices
Privacy Preservation in Sensor-Based Human Activity Recognition Through Autoencoders for Low-Power Iot Devices Open
View article: Energy Efficiency of Deep Learning Compression Techniques in Wearable Human Activity Recognition
Energy Efficiency of Deep Learning Compression Techniques in Wearable Human Activity Recognition Open
View article: Decentralized Health Data Distribution: A DLT-based Architecture for Data Protection
Decentralized Health Data Distribution: A DLT-based Architecture for Data Protection Open
The management, protection and sharing of sensitive data such as those associated with the health domain are crucial in enabling personal care and contributing to worldwide medical advancements. Distributed Ledger Technologies (DLTs) allow…
View article: Evaluation of a sampling approach for computationally efficient uncertainty quantification in regression learning models
Evaluation of a sampling approach for computationally efficient uncertainty quantification in regression learning models Open
The capability of effectively quantifying the uncertainty associated to a given prediction is an important task in many applications that range from drug design to autonomous driving, providing valuable information to many downstream decis…
View article: Exploring Artificial Neural Networks Efficiency in Tiny Wearable Devices for Human Activity Recognition
Exploring Artificial Neural Networks Efficiency in Tiny Wearable Devices for Human Activity Recognition Open
The increasing diffusion of tiny wearable devices and, at the same time, the advent of machine learning techniques that can perform sophisticated inference, represent a valuable opportunity for the development of pervasive computing applic…
View article: Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens
Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens Open
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 through respiratory droplets or by contact. Contact transmission occu…
View article: Toward the InterPlanetary Health Layer for the Internet of Medical Things With Distributed Ledgers and Storages
Toward the InterPlanetary Health Layer for the Internet of Medical Things With Distributed Ledgers and Storages Open
With the dramatic increase of the Internet of Medical Things devices, self and remote health data monitoring is consistently receiving more attention. However, medical devices are usually challenging to deploy due to privacy regulations, a…
View article: Unstructured Handwashing Recognition using Smartwatch to Reduce Contact\n Transmission of Pathogens
Unstructured Handwashing Recognition using Smartwatch to Reduce Contact\n Transmission of Pathogens Open
Current guidelines from the World Health Organization indicate that the\nSARS-CoV-2 coronavirus, which results in the novel coronavirus disease\n(COVID-19), is transmitted through respiratory droplets or by contact. Contact\ntransmission o…
View article: Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens
Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens Open
Current guidelines from the World Health Organization indicate that the SARSCoV-2 coronavirus, which results in the novel coronavirus disease (COVID-19), is transmitted through respiratory droplets or by contact. Contact transmission occur…
View article: Machine Learning Techniques to Identify Unsafe Driving Behavior by Means of In-Vehicle Sensor Data
Machine Learning Techniques to Identify Unsafe Driving Behavior by Means of In-Vehicle Sensor Data Open