- IoT and Edge/Fog Computing
- Context-Aware Activity Recognition Systems
- RFID technology advancements
- IoT-based Smart Home Systems
- Indoor and Outdoor Localization Technologies
- Energy Efficient Wireless Sensor Networks
- Energy Harvesting in Wireless Networks
- Food Supply Chain Traceability
- Wireless Body Area Networks
- QR Code Applications and Technologies
- Non-Invasive Vital Sign Monitoring
- Technology Use by Older Adults
- Smart Parking Systems Research
- Bluetooth and Wireless Communication Technologies
- Opportunistic and Delay-Tolerant Networks
- Smart Cities and Technologies
- Wireless Communication Networks Research
- IoT Networks and Protocols
- Human Mobility and Location-Based Analysis
- Antenna Design and Analysis
- Video Surveillance and Tracking Methods
- Advanced Chemical Sensor Technologies
- Satellite Communication Systems
- IoT and GPS-based Vehicle Safety Systems
- ECG Monitoring and Analysis
Innovation Engineering (Italy)
2016-2025
University of Salento
2016-2025
National Research Council
2023
Ghent University
2020
University of Split
2020
Universidade Federal do Piauí
2020
University of Salerno
2009-2010
Over the last few years, convincing forward steps in development of Internet Things (IoT)-enabling solutions are spurring advent novel and fascinating applications. Among others, mainly radio frequency identification (RFID), wireless sensor network (WSN), smart mobile technologies leading this evolutionary trend. In wake tendency, paper proposes a novel, IoT-aware, architecture for automatic monitoring tracking patients, personnel, biomedical devices within hospitals nursing institutes....
This paper aims to provide the reader with a review of main technologies explored in literature solve indoor localization issue. Furthermore, some systems that use these enabling real-world scenarios are presented and discussed. could deliver better understanding state-of-the-art motivate new research efforts this promising field. Finally, focusing on one major challenges field, i.e., animal tracking, existing tracking have been reviewed compared by analyzing advantages drawbacks.
The new technologies characterizing the Internet of Things (IoT) allow realizing real smart environments able to provide advanced services users. Recently, these are also being exploited renovate users' interest on cultural heritage, by guaranteeing interactive experiences. In this paper, we design and validate an indoor location-aware architecture enhance user experience in a museum. particular, proposed system relies wearable device that combines image recognition localization capabilities...
Enabling a sustainable mobility is one of primary goals the so-called Smart City vision, and development intelligent parking systems represents key aspect. To this purpose, paper presents novel Parking System based on jointly use different technologies, such as RFID, WSN, NFC, Cloud, mobile. It able to collect, in real time, both environmental parameters information about occupancy state spaces, direct drivers nearest vacant spot by using customized software application. This last leverages...
Thanks to the rapid growth of Industry 4.0 domain and innovations brought by Internet Things paradigm, Digital Twins (DT) are increasingly gaining momentum in our society various companies moving towards their adoption many application areas. One them is aerospace sector which has started take advantage innovative services enhance workers' daily duties. Although different works already proposed solutions apply Twin industrial domain, airspace area not yet completely benefited from its...
In this paper, a Smart Parking System (SPS) based on the integration of Ultra-High Frequency (UHF) Radio Identification (RFID) and IEEE 802.15.4 Wireless Sensor Network (WSN) technologies is presented. The system able to collect information about occupancy state parking spaces, direct drivers nearest vacant spot by using customized software application. Such application also leverages an NFC-based e-wallet allow users pay for fee. Furthermore, RESTful Java Google Cloud Messaging (GCM) has...
A growing number of elderly people (65+ years old) are affected by particular conditions, such as Mild Cognitive Impairment (MCI) and frailty, which characterized a gradual cognitive physical decline. Early symptoms may spread across often they noticed only at late stages, when the outcomes remain irrevocable require costly intervention plans. Therefore, clinical utility early detecting these conditions is substantial importance in order to avoid hospitalization lessen socio-economic costs...
The ever-growing life expectancy of people requires the adoption proper solutions for addressing particular needs elderly in a sustainable way, both from service provision and economic point view. Mild cognitive impairments frailty are typical examples conditions which, if not timely addressed, can turn out into more complex diseases that harder costlier to treat. Information communication technologies, Internet Things foster creation monitoring intervention systems, on an ambient-assisted...
The Internet of Things (IoT) will include billions smart "things" connected to the Web and characterized by sensing, actuating, data processing capabilities. In this context, also known as (WoT), user should ideally be able collect information provided things, mash-up them obtain value-added services. However, in current solutions, access physical objects is poorly scalable efficient, communications are often unidirectional (from devices users), only tech-savvy people develop applications....
The rapid aging of the population occurred in recent years has encouraged development several solutions aimed to guarantee a healthy and safe lifestyle elderly. In this paper, an Ambient Assisted Living (AAL) system been designed order create better living conditions for older people. way, people can live independently longer their own house with improved quality life. proposed includes features. On one hand, it is able continuously monitor health status elderly through data coming from...
Recently, one of the hottest topics in logistics sector has been traceability goods and monitoring their condition during transportation. Perishable goods, such as fresh have specifically attracted attention researchers that already proposed different solutions to guarantee quality freshness food through whole cold chain. In this regard, use Internet Things (IoT)-enabling technologies its specific branch called edge computing is bringing enhancements thereby achieving easy remote real-time...
Radio frequency identification (RFID) technology is more and adopted in a wide range of applicative scenarios. Nevertheless, many applications, commercial general-purpose solutions can be unsuitable as the case tracking small-size living animals for behavior analysis. In such case, whole RFID hardware, well control software, should opportunely tailored particular application. this paper, novel RFID-based approach enabling an effective localization small-sized laboratory proposed. It mainly...
Waste management is a challenge for modern cities as it impacts on environmental sustainability and the level of quality perceived by citizens. In last few years, several progresses have been made in this direction with introduction city door-to-door separate waste collection. A key element success such actions to achieve excellent cooperation from The Digital Transformation process sector will require time other than careful data associated collection processes. At regard, progress hardware...
Arterial pulse waves contain a wealth of parameters indicative cardiovascular disease. As such, monitoring them continuously and unobtrusively can provide health professionals with steady stream indices, allowing for the development efficient, individualized treatments early disease diagnosis solutions. Blood pulsations in superficial arteries cause skin surface deformations, typically undetectable to human eye; therefore, Microelectromechanical systems (MEMS) be used measure these...
Anomaly detection in time series is essential for industrial monitoring and environmental sensing, yet distinguishing anomalies from complex patterns remains challenging. Existing methods like the Transformer DCdetector have progressed, but they face limitations such as sensitivity to short-term contexts inefficiency noisy, non-stationary environments. To overcome these issues, we introduce MAAT, an improved architecture that enhances association discrepancy modeling reconstruction quality....
The aging global population requires innovative remote monitoring systems to assist doctors and caregivers in assessing the health of elderly patients. Doctors often lack access continuous behavioral data, making it difficult detect deviations from normal patterns when patients arrive for a consultation. Without historical insights into common behaviors potential anomalies detected with unobtrusive techniques (e.g., non-wearable devices), timely informed medical interventions become...