A5007500670- Context-Aware Activity Recognition Systems
- Wireless Body Area Networks
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Gaze Tracking and Assistive Technology
- Non-Invasive Vital Sign Monitoring
- ECG Monitoring and Analysis
- Indoor and Outdoor Localization Technologies
- Molecular Communication and Nanonetworks
- Gait Recognition and Analysis
- Modular Robots and Swarm Intelligence
- EEG and Brain-Computer Interfaces
- Heart Rate Variability and Autonomic Control
- Analog and Mixed-Signal Circuit Design
- Mobile Agent-Based Network Management
- Emotion and Mood Recognition
- Hand Gesture Recognition Systems
- Ergonomics and Musculoskeletal Disorders
- Robotics and Automated Systems
- IoT Networks and Protocols
- Mobile Health and mHealth Applications
- Sparse and Compressive Sensing Techniques
- Muscle activation and electromyography studies
- COVID-19 diagnosis using AI
- Elevator Systems and Control
University of Calabria
2016-2025
March of Dimes
2019
Drexel University
2014
Nipissing University
2014
University of San Diego
2014
National Taipei University of Technology
2014
University of Macau
2014
University of California, San Diego
2014
National Taiwan University of Science and Technology
2014
University of Calabar
2011
Wireless body sensor networks (BSNs) possess enormous potential for changing people's daily lives. They can enhance many human-centered application domains such as m-Health, sport and wellness, applications that involve physical/virtual social interactions. However, there are still challenging issues limit their wide diffusion in real life: primarily, the programming complexity of these systems, due to lack high-level software abstractions, hardware constraints wearable devices. In contrast...
Edge computing paradigm has attracted many interests in the last few years as a valid alternative to standard cloud-based approaches reduce interaction timing and huge amount of data coming from Internet Things (IoT) devices toward Internet. In next future, Edge-based will be essential support time-dependent applications Industry 4.0 context; thus, paper proposes BodyEdge, novel architecture well suited for human-centric applications, context emerging healthcare industry. It consists tiny...
Body Sensor Networks (BSNs) represent an emerging technology which has received much attention recently due to its enormous potential enable remote, real-time, continuous and non-invasive monitoring of people in health-care, entertainment, fitness, sport, social interaction. Signal processing for BSNs usually comprises multiple levels data abstraction, from raw sensor calculated steps such as feature extraction classification. This paper presents a multi-layer task model based on the concept...
The postures of wheelchair users can reveal their sitting habit, mood, and even predict health risks such as pressure ulcers or lower back pain. Mining the hidden information wellness general conditions. In this paper, a cushion-based posture recognition system is used to process sensor signals for detection user's in wheelchair. proposed method composed three main steps: data level classification detection, backward selection configuration, results compared with previous literature. Five...
The increasing scope of sensitive personal information that is collected and stored in wearable healthcare devices includes physical, physiological, daily activities, which makes the security these very essential. Gait-based identity recognition an emerging technology, increasingly used for access control devices, due to its outstanding performance. However, gait-based elderly users more challenging than young adults, significant intra-subject gait fluctuation, becomes pronounced with user...
Abstract Wireless body sensor networks (WBSNs) enable a broad range of applications for continuous and real‐time health monitoring medical assistance. Programming WBSN is complex task especially due to the limitation resources typical hardware platforms lack suitable software abstractions. In this paper, SPINE (signal processing in‐node environment), domain‐specific framework rapid prototyping applications, which lightweight flexible enough be easily customized fit particular...
Wireless sensor networks (WSNs) are emerging as powerful platforms for distributed embedded computing supporting a variety of high-impact applications. However, programming WSN applications is complex task that requires suitable paradigms and technologies capable the specific characteristics such which uniquely integrate sensing, computation communication. Mobile agents paradigm based on code mobility has already demonstrated high effectiveness efficiency in IP-based highly dynamic...
The focus of the Internet has recently shifted from current computers and mobile devices to everyday objects, people, places; consequently, Things (IoT) promises be not only a compelling vision but actual driving force upcoming fourth Industrial Revolution. Novel cyber-physical, customized, highly pervasive services are impacting our lives, involving several stakeholders fostering an unseen globally interconnected ecosystem. However, IoT system development is multifaceted process that's...
Cardiac Defense Response (CDR) is a basic psycho-physiological response related to startle reflex and preceding negative emotional states including fear. In the health-care context, definition of methods automatically identify CDR relevant issue, because frequent activations (not associated proper danger stimuli) can pose subject health risk eventually develop into severe psychophysical disorders. Therefore, providing tools for automatic identification this defense mechanism significantly...
In the Internet of Things (IoT) vision, all our everyday objects will be equipped with processing, sensing and actuating capabilities need to connected provide their full potential benefits. Our life surrounded by an ecosystem smart "things" that found, accessed, managed interconnected other things. For purpose, we introduce IoT Gateway solution based on a smartphone becoming universal interface between Things. We propose high-level, unified extendible software architecture for "thing"...
The term Body Sensor Network (BSN) was introduced less than twenty years ago. Since then, tremendous technical development and social changes attracted researchers from very diverse fields allowing to establish an incredibly rich interdisciplinary ecosystem. Although many former challenges have been tackled by consolidated literature, still today new research opportunities stem recent advancements in IoT, machine learning, communication technologies, bio-materials microelectronics. This work...
The adoption of IoT for smart health applications is a relevant tool distributed and intelligent automatic diagnostic systems. This work proposes the development an integrated solution to monitor maternal fetal signals high-risk pregnancies based on sensors, feature extraction data analytics, aid system 1-D convolutional neural network (CNN) classifier. heart rate group clinical indicators, such as uterine tonus activity, blood pressure, rate, temperature, oxygen saturation are monitored....
Abstract According to the World Health Organization and other authorities, falls are one of main causes accidental injuries among elderly population. Therefore, it is essential detect predict fall activities older persons in indoor environments such as homes, nursing, senior residential centers, care facilities. Due non-contact signal confidentiality characteristics, radar equipment widely used care, detection, rescue. This paper proposes an adaptive channel selection algorithm separate...