- Gaze Tracking and Assistive Technology
- Augmented Reality Applications
- Neuroscience and Neural Engineering
- EEG and Brain-Computer Interfaces
- Virtual Reality Applications and Impacts
- Electromagnetic Compatibility and Noise Suppression
- Thermography and Photoacoustic Techniques
- Human-Automation Interaction and Safety
- Heart Rate Variability and Autonomic Control
- Muscle activation and electromyography studies
- Hand Gesture Recognition Systems
- Infrared Thermography in Medicine
- Millimeter-Wave Propagation and Modeling
- Interactive and Immersive Displays
- Photoacoustic and Ultrasonic Imaging
- Advanced Memory and Neural Computing
- Power Line Communications and Noise
University of Naples Federico II
2023-2025
This paper proposes a method for measuring the performance of Human–Machine Interfaces based on hand-gesture recognition, implemented within eXtended Reality Head-Mounted Displays. The proposed leverages systematic approach, enabling measurement in compliance with Guide to Expression Uncertainty Measurement. As an initial step, testbed is developed, comprising series icons accommodated field view Display considered. Each icon must be selected through cue-guided task using hand gestures under...
Power line communication (PLC) is a technology that exploits existing electrical transmission and distribution networks as guiding structures for electromagnetic signal propagation. This facilitates low-rate data signaling control operations. As the demand in terms of rate has greatly increased last years, attention paid to broadband PLC (BPLC) also increased. concept extended railways traction power (BTPLC), aiming offer railway operators an alternative network areas where other...
This work proposes an innovative method, based on the use of low-cost infrared thermography (IRT) instrumentation, to assess in real time effectiveness scoliosis braces. Establishing braces means deciding whether pressure exerted by brace patient's back is adequate for intended therapeutic purpose. Traditionally, evaluation relies empirical, qualitative assessments carried out orthopedists during routine follow-up examinations. Hence, it heavily depends expertise involved. In state art, only...
Given the increasing demand for systems that enable seamless human-computer interaction, this study presents design and implementation of a highly wearable Brain-Computer Interface (BCI). The proposed BCI leverages Augmented Reality (AR) technology to elicit users' Steady-State Visually Evoked Potential (SSVEP) in more immersive manner compared traditional state-of-the-art setups. Additionally, employment portable, wireless EEG acquisition system represents significant enhancement terms...