A5074722029- Context-Aware Activity Recognition Systems
- Non-Invasive Vital Sign Monitoring
- Technology Use by Older Adults
- Building Energy and Comfort Optimization
- Dementia and Cognitive Impairment Research
- Heart Rate Variability and Autonomic Control
- Cardiovascular Health and Disease Prevention
- IoT-based Smart Home Systems
- Video Surveillance and Tracking Methods
- ECG Monitoring and Analysis
- Thermoregulation and physiological responses
- Infrared Thermography in Medicine
- IoT and Edge/Fog Computing
- Hemodynamic Monitoring and Therapy
- Indoor and Outdoor Localization Technologies
- Digital Mental Health Interventions
- Refrigeration and Air Conditioning Technologies
- Wireless Body Area Networks
- Sleep and Work-Related Fatigue
- Urban Heat Island Mitigation
- Color perception and design
- Innovative Approaches in Technology and Social Development
- Social Robot Interaction and HRI
- Digital Transformation in Industry
- Non-Destructive Testing Techniques
Marche Polytechnic University
2015-2024
Engineering (Italy)
2022
Institute of Electrical and Electronics Engineers
2021
University of Catania
2021
Washington University in St. Louis
2016
This paper presents the results from experimental application of smartwatch sensors to predict occupants' thermal comfort under varying environmental conditions. The goal is investigate measurement accuracy smartwatches when used as be integrated into Heating, Ventilation and Air Conditioning (HVAC) control loops. Ten participants were exposed various conditions well warm - induced cold-induced discomfort tests 13 a transient-condition while network collected both parameters heart rate...
Smart homes play a strategic role for improving life quality of people, enabling to monitor people at home with numerous intelligent devices. Sensors can be installed provide continuous assistance without limiting the resident’s daily routine, giving her/him greater comfort, well-being and safety. This paper is based on development domestic technological solutions improve citizens users environment, features extracted from collected data. The proposed smart sensing architecture an integrated...
Older adults often desire to remain in their homes for as long possible, and Socially Assistive Robots (SARs) can play a role supporting this goal. However, the acceptance adoption rates of SARs relatively low, suggesting that current designs may not fully address all user needs. Field studies Human-Robot Interaction, particularly those involving multiple end-users, limited. Nevertheless, such are crucial identifying factors shape experience with SARs, potentially improving healthcare...
This paper proposes a specific domotic sensor network to measure the well-being of elderly people in private home environments through Machine Learning (ML) algorithms trained with daily surveys. The tests have been conducted 5 apartments lived by 8 older where non-obtrusive is installed. Two ML are compared, Random Forest (RF) and Regression Tree (RT), such that verify whether users' encoded behavioural patterns obtained from data. These data used compared three reference indices survey:...
This work illustrates an innovative localisation sensor network that uses multiple PIR and ultrasonic sensors installed on a mobile social robot to localise occupants in indoor environments. The system presented aims measure movement direction distance reconstruct the of person environment by using activation strategies data processing techniques. collected are then analysed both supervised (Decision Tree) unsupervised (K-Means) machine learning algorithm extract occupant from measurement...
Abstract In this paper, a new ecosystem to support older adults and their caregivers in an indoor living environment is proposed. The GUARDIAN designed address the different needs of end users countries. consists socially assistive robot (SAR), including sensors, two mobile applications (one for one user). Starting from user-centred value-sensitive co-design approach, three key user requirements have been identified: monitoring, reminding, social companionship. User were translated into...
Nowadays, there are plenty of sensing devices that enable the measurement physiological, environmental, and behavioral parameters people 24 hours a day, seven days week provide huge quantities different data. Data signals coming from devices, installed in indoor or outdoor environments often worn by users, generate heterogeneous complex structured datasets, most time not uniformly structured. The artificial intelligence (AI) algorithms applied to these sets data have demonstrated...
This paper presents an experiment for assessing thermal comfort of occupants in the built environment, from a subjective perspective, focusing on office environment; dedicated measurement campaign using sensors acquisition physiological and environmental parameters was conducted. Skin temperature measured with two sensors: minimally invasive sensor measuring wrist temperature, camera to retrieve forehead temperature; simultaneously, heart rate variability wearable device. 15 participants...
With a substantial rise in life expectancy throughout the last century, society faces imperative of seeking inventive approaches to foster active aging and provide adequate care. The e-VITA initiative, jointly funded by European Union Japan, centers on an advanced virtual coaching methodology designed target essential aspects promoting healthy aging. This paper describes technical framework underlying system platform presents preliminary feedback its use. At core is Manager, pivotal...
The application of a noncontact physiological recording technique, based on the method laser Doppler vibrometry (LDV), is described. effectiveness LDV as modality lies in ability to detect very small movements skin, associated with internal mechanophysiological activities. validated for range cardiovascular variables, extracted from contour carotid pulse waveform function phase respiration cycle. Data were obtained 32 young healthy participants, while resting and breathing spontaneously....
This paper presents an innovative multi-resident activity detection sensor network that uses the Bluetooth Low Energy (BLE) signal emitted by tags worn residents and passive infrared (PIR) motion sensors deployed in house to locate monitor their activities. measurement system solves problem of monitoring older people measuring activities scenarios. Metrics are defined analyze interpret collected data understand daily habits measure level (AL) people. The accuracy detecting movements...
Nowadays, the monitoring of usersâ health status is possible by means smart sensing devices at low-cost and with high measuring capabilities. Wearable are able to acquire multiple physiological physical waveforms equipped on-board algorithms process these signals extract required quantities. However, performance such processing techniques should be evaluated compared different approaches, e.g. raw acquired. In this paper, authors have performed a metrological characterization commercial...
Background: Heartbeat detection is a crucial step in several clinical fields. Laser Doppler Vibrometer (LDV) promising non-contact measurement for heartbeat detection. The aim of this work to assess whether machine learning can be used detecting from the carotid LDV signal. Methods: performances Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF) and K-Nearest Neighbor (KNN) were compared using leave-one-subject-out cross-validation as testing protocol an dataset collected...
This paper presents the experimental performance assessment of a smartwatch (SW) measuring heart rate variability (HRV), compared to multi-parametric chest belt that is considered as reference sensor. HRV from can be extracted with two methods: directly internal onboard processing device or by post-processing data collected photoplethysmography signal. To evaluate uncertainty both methods, measurements were performed while users sitting at rest, wearing SW on preferred wrist and collect...
Low cost sensors (LCSs) have the potential to revolutionise environmental monitoring by complementing traditional regulatory agencies' air quality monitoring, thereby marking a paradigm shift in data acquisition. LCSs can create dense observation networks, providing high spatial and temporal resolutions at affordable cost, leveraging public participation engagement, order support scientific research decision-making. Calibration of is utmost importance ensure their consolidation activities....
Dementia is a condition that affects more and elderly people around the world. The number of affected by dementia expected to increase in future due increasing longevity growing population. According World Health Organization (WHO), with worldwide double 2030 triple 2050. This will pose significant challenge health social systems many nations require increased attention resources for prevention, diagnosis treatment dementia. As disease spreads, workload formal caregivers inevitably increase....
Systems enabling long-term monitoring of physiological data and everyday activities has been the subject considerable research efforts in last years, order to improve quality life patients, elderly people common citizens at home, out hospitalization. With availability inexpensive, low power, wireless integrated devices, current smart homes are typically equipped with a large amount sensors, which collaboratively process make deductions from acquired on state as well behaviors its residents....
This report amplifies and extends prior descriptions of the use laser Doppler vibrometry (LDV) as a method for assessing cardiovascular activity, on non-contact basis. A rebreathing task (n = 35 healthy individuals) was used to elicit multiple effects associated with changes in autonomic drive well blood gases including hypercapnia. The LDV pulse obtained from two sites overlying carotid artery, separated by 40 mm. robust signal both sites, accord well-described diameter over pressure cycle....
This paper reports the technologies and workplan of AAL RESILIEN-T project. Focused on assistive technologies, aims to improve, through self-management, autonomy, participation in social life, skills, older Persons with Cognitive Impairment (PwCI) who are too often considered as "objects" research, rather than "partners". The study investigates existing ICT solutions improve self-management ability PwCl at different stages cognitive impairment. Sensors, devices apps reduce progression...
A simple sleep monitoring measurement method is presented in this paper, based on a simple, non-invasive motion sensor, the Passive InfraRed (PIR) sensor. The easy set-up proposed and its performances are compared with ones provided by commercial, ballistocardiographic bed used as reference tool. Testing was conducted 25 nocturnal acquisitions voluntary, healthy subject, using PIR-based simultaneously. dedicated algorithm developed to correlate sensor outputs PIR signal extract sleep-related...
This study is realized within the framework of Health@Home Italian project. The focus this paper to provide a description experimentation in pilot case Veneto region (Italy). integrated residential sensor network (composed by mix domotic equipment and biomedical devices), which will allow older people improve their life-style houses, discussed, together with apartments selection (i.e. specifications requirements) users' recruitment. authors also introduce analysis expected results, based on...