A5043858578- Context-Aware Activity Recognition Systems
- Energy Efficient Wireless Sensor Networks
- IoT-based Smart Home Systems
- Biosensors and Analytical Detection
- Embedded Systems Design Techniques
- Parallel Computing and Optimization Techniques
- Non-Invasive Vital Sign Monitoring
- Cryptographic Implementations and Security
- Analytical Chemistry and Sensors
- Numerical Methods and Algorithms
- Indoor and Outdoor Localization Technologies
- Real-Time Systems Scheduling
- Advanced Chemical Sensor Technologies
- Bluetooth and Wireless Communication Technologies
- Coding theory and cryptography
- Advanced biosensing and bioanalysis techniques
- Electrochemical sensors and biosensors
- Wireless Networks and Protocols
- Quantum-Dot Cellular Automata
- IoT and Edge/Fog Computing
University of Parma
2017-2022
Human activity recognition (HAR) is currently recognized as a key element of more general framework designed to perform continuous monitoring human behaviors in the area ambient assisted living (AAL), well-being management, medical diagnosis, elderly care, rehabilitation, entertainment, and surveillance smart home environments. In this paper, an innovative HAR system, exploiting potential wearable devices integrated with skills deep learning techniques, presented aim recognizing most common...
Among sensible goals of active and assisted living paradigm is the unobtrusive monitoring daily activities. Based on such monitoring, anomalies trends can be discovered, which possibly allows for early assessment health issues prevention policies. However, when dealing with home environment, especially older adults, obtrusiveness, usability, cost concerns are utmost relevance. Smart objects designed to this purpose deployed into home: they usually feature low data rates customarily...
The trend toward technology ubiquity in human life is constantly increasing and the same tendency clear all technologies aimed at monitoring. In this framework, several smart home system architectures have been presented literature, realized by combining sensors, servers, online platforms. paper, a new architecture suitable for monitoring based on Wi-Fi connectivity introduced. proposed solution lowers costs implementation burden using Internet connection that leans standard modem-routers,...
Recent advances in Internet-of-Things technology have opened the doors to new scenarios for biosensor applications. Flexibility, portability, and remote control access are of utmost importance move these devices people's homes or a Point-of-Care context rapidly share results with users their physicians. In this paper, an innovative portable device both quantitative semi-quantitative electrochemical analysis is presented. This can operate autonomously without need relying on other (e.g., PC,...
Reed–Solomon (RS) codes are one of the most used solutions for error correction logic in data communications. RS decoders composed several blocks: among them, many efforts have been made to optimize magnitude evaluation module. This paper aims assess performance an innovative algorithm introduced literature by Lu et al. under different systems configurations and hardware platforms. Several encoded message chosen between those typically applications designed be run on FPGA (field programmable...
Recent research in wearable sensors have led to the development of an advanced platform capable embedding complex algorithms such as machine learning algorithms, which are known usually be resource-demanding. To address need for high computational power, one solution is design custom hardware platforms dedicated specific application by exploiting, example, Field Programmable Gate Array (FPGA). Recently, model-based techniques and automatic code generation been introduced FPGA design. In this...
Continuous monitoring of daily life activities within the home environment is among most appealing and challenging goals technologies supporting Active Assisted Living paradigm. The HELICOPTER (AAL-JP) project aims at merging conventional telemedicine into a unique, holistic framework. To this purpose, network heterogeneous sensors deployed user's home: raw data coming from should then be gathered analyzed to extract meaningful information, possibly related health wellness. Besides inherent...
Human monitoring is important in a wide range of applications and, most notably, health management. Within the Active and Assisted Living (AAL) framework, human techniques have particular relevance: among AAL purposes that applying ambient intelligence paradigm to enable older adults or people with specific demands live longer independently their homes, reducing need institutionalization. Sensors are used track some features daily living activities, which then processed infer health-relevant...