A5056981166- Gaze Tracking and Assistive Technology
- Parallel Computing and Optimization Techniques
- Speech Recognition and Synthesis
- Digital Transformation in Industry
- Manufacturing Process and Optimization
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Flexible and Reconfigurable Manufacturing Systems
- Embedded Systems Design Techniques
- Virtual Reality Applications and Impacts
- Real-Time Systems Scheduling
- Biometric Identification and Security
- Face recognition and analysis
- Face and Expression Recognition
- Opportunistic and Delay-Tolerant Networks
- Decision-Making and Behavioral Economics
- Anomaly Detection Techniques and Applications
- Environmental Education and Sustainability
- Educational Games and Gamification
- Animal and Plant Science Education
- Teaching and Learning Programming
- Video Surveillance and Tracking Methods
- Climate Change Communication and Perception
- Identity, Memory, and Therapy
- Visual and Cognitive Learning Processes
University of Siena
2015-2023
The Stroop test evaluates the ability to inhibit cognitive interference. This interference occurs when processing of one stimulus characteristic affects simultaneous another attribute same stimulus. Eye movements are an indicator individual attention load required for inhibiting We used eye tracker collect data from more than 60 subjects each performing four different but similar tasks (some with and some without). After extraction features related fixations, saccades gaze trajectory, we...
All the features and components of Internet Things Industrial are driving transition to Industry 4.0. New Enabling Technologies, Big Data, Sensor Networks, Embedded Computing, Machine Learning changing industries, company processes people. For companies it is important be flexible perceive these changes ready upgrade their structure process. In this paper we propose a retrofitting methodology based on Design Thinking in steel mill plant, highlight how activity allow even more migrate 4.0,...
In this paper, we describe our methodology for designing a smart doorbell system the homes. While recent trend of big companies is to offer home voice assistant, which can integrate all possible services, including recognition owner (or authorized people) at house door, privacy concerns and independence from single service provider are requiring more freedom in choice "smart objects" that surround us. The using both iris verify identity user who rings door. Since there involvement biometric...
In a Cave Automatic Virtual Environment, we conducted an experiment to investigate the influence of future self-continuity on delay immediate monetary gratification. By utilizing immersive virtual environments, aimed accentuate role environmental cues in shaping behavior. Our findings revealed that these stimuli had significant impact, leading higher likelihood selecting larger delayed option. This effect was attributed enhanced desirability gratification and reduction present bias rewards....
In the paper we present design and development of Machine Learning (ML) modules for two case studies. both cases developed a ML model to learn system's normal behavior so identify whichever abnormal condition may arise. Such framework is usually referred as Anomaly Detection (also known Fault or Novelty Detection). Our models succeeded at identifying injected anomalies. addition, no anomalies were observed when was fed with data. The results are discussed considering trade-off between type...
Cyber-Physical Systems (CPSs) are widely necessary for many applications that require interactions with the humans and physical environment. A CPS integrates a set of hardware-software components to distribute, execute manage its operations. The AXIOM project (Agile, eXtensible, fast I/O Module) aims at developing platform such i) it can use an easy parallel programming model ii) easily scale-up performance by adding multiple boards (e.g., 1 10 run in parallel). supports task-based based on...
This paper describes the opportunities provided by new graphical tool UDOO App Inventor (UAPPI) for enhancing programming learning experience. With this tool, coding and are no longer limited to screen pixels but will incorporate real objects in physical world. The aim of authors' research is develop tools alphabetization, focusing on live programming, event computing overcoming syntax obstacles using blocks programming. They describe two simple Research through Design case studies carried...
Many of the essential elements Internet Things (IoT) and Industrial (IIoT) are driving transition to Industry 4.0. It is important for companies their staff be flexible in accepting this change ready upgrade equipment, structures processes. In paper, taking as a case study Smart Retrofitting process performed applying Design Thinking approach at foundry Livorno, Tuscany, we analyze relationship between man machine industrial sector how introduction data collections devices, sensors Machine...
We analyzed experimentally the effect of inducing future self-continuity in a Cave Automatic Virtual Environment on delaying immediate monetary gratification. Our experiment is conducted high-immersive virtual environments (HIVE) to stress environmental cues behavior. found that these stimuli increased choice larger delayed option, by making gratification more desirable and reducing impact present bias reward. supports usefulness for testing explaining intertemporal choice.
In hospitals, patients often experience falls at night, especially when they're under the influence of painkillers and anesthesia. Instead seeking assistance, these patients, in their confused state, might impulsively try to get up, endangering safety. Such incidents can lead severe injuries, even fatalities, or cases where wander away from rooms. These occurrences not only impact health but also increase insurance costs for hospitals. Centro Chirurgico Toscano (CCT - Tuscany Surgery Center)...
In this paper, we describe our methodology for designing a smart Videosurveillance system face analysis. The aims at increasing the security by gathering demographic statistics in highly crowded areas such as train stations, airports and shopping malls. Based on Convolutional Neural Networks (CNNs), architecture relies reconfigurable hardware to accelerate part of computation reduce power consumption compared general-purpose processors GPUs. To achieve easy programmability, platform makes...
While theories postulating a dual cognitive system take hold, quantitative confirmations are still needed to understand and identify interactions between the two systems or conflict events. Eye movements among most direct markers of individual attentive load may serve as an important proxy information. In this work we propose computational method, within modified visual version well-known Stroop test, for identification different tasks potential conflicts events through collection processing...