A5011399385- Building Energy and Comfort Optimization
- Context-Aware Activity Recognition Systems
- Technology Use by Older Adults
- Non-Invasive Vital Sign Monitoring
- Dementia and Cognitive Impairment Research
- Heart Rate Variability and Autonomic Control
- Refrigeration and Air Conditioning Technologies
- Urban Heat Island Mitigation
- Thermoregulation and physiological responses
- Air Quality Monitoring and Forecasting
- Color perception and design
- Sleep and Work-Related Fatigue
- Species Distribution and Climate Change
- Nutritional Studies and Diet
- EEG and Brain-Computer Interfaces
- Health and Well-being Studies
- Digital Transformation in Industry
- Hemodynamic Monitoring and Therapy
- Data-Driven Disease Surveillance
- Noise Effects and Management
- IoT-based Smart Home Systems
- Data Quality and Management
- ECG Monitoring and Analysis
- Human Mobility and Location-Based Analysis
- Mobile Health and mHealth Applications
Marche Polytechnic University
2020-2025
Engineering (Italy)
2022
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...
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 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...
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....
This paper describes a methodology to define how high-quality data collection and usage can be exploited develop data-driven measurement-based services that fit the requirements of Built Environment (BE) stakeholders. Given increasing innovation BE is undergoing, need for based on required. implies development tailored sensor networks measurement techniques which aim at guaranteeing quality deliver efficient digitalized solutions. The key role played by stakeholders led implementation...
This paper presents a methodology for the processing of Photoplethysmography (PPG) signal measured using smartwatch during motion tests. For statistical validation, signals from 15 healthy subjects have been collected while are walking on treadmill. The artifacts (MAs) PPG removed demonstrating that 37% affected by MAs. Then, experimental performance assessment signal, which heart rate variability (HRV) has extracted, measuring RR intervals, is compared to intervals extracted ECG...
This paper presents an approach to assess the measurement uncertainty of human thermal comfort by using innovative method that comprises a heterogeneous set data, made physiological and environmental quantities, artificial intelligence algorithms, Monte Carlo (MCM). The dataset is up heart rate variability (HRV) features, air temperature, velocity relative humidity. Firstly, MCM applied compute HRV features: results have shown among 13 participants, there are values in features ranges from...
This paper presents the development of a sensor network for measuring well-being people with dementia (PwD) and assessing progression disease throughout overall course dementia. To gain an insight into PwD, sensors can provide information about multiple aspects, such as level social, cognitive physical activities abilities. The proposed measurement system is minimally invasive be adapted to different built environments allows monitor human behavior under aspects lifestyle monitoring, sleep...
This paper presents an innovative integrated measurement system composed of a social robot, infrared (IR) sensor and wearable device (smartwatch) for the assessment human thermal comfort. The goal this work is to provide human-centered methodology that exploits robotic structure comfort coaching solution end-users in built environment. For purpose, physiological parameters such as Heart Rate Variability (HRV) skin temperature (ts) are measured, response different environmental conditions...
The aim of this research is to measure and cluster the activity ageing people, through a minimally invasive home sensor network, realised by movement light sensors, installed in seven apartments. Unsupervised machine learning (UML) algorithms are used daily data different pattern activation sensors. Data grouped 6 time slots per day 4 hours each activations counted. chosen number clusters set 2 best clustering results obtained for first slot House 5 with Silhouette score 0.7 0.9, suggesting...
Introduction With a decreasing workforce of carers and transition from care homes to home care, people with dementia (PwD) increasingly rely on informal caregivers (ICs) assistive technologies (ATs). There is growing evidence that ATs in the environment can reduce workload for formal (FCs) ICs, costs, have positive influence quality life (QoL) PwD their caregivers. In practice, using multiple still often implies different separate point solutions applications. However, integral, combined use...
This paper validates an indoor measurement system for human detection using a RGB camera installed on mobile robot at three different robot's head configuration and in two suboptimal collected scenarios. Images are processed with algorithms i.e., Histogram of Oriented Gradients (HOG), Viola-Jones Haar Cascade Classifier (Haar cascade classifier), You Only Look Once (YOLO-v3) trained COCO dataset their accuracies detecting humans computed. For these algorithms, dependences from the...
This paper shows the results of an experimental campaign conducted to quantify measurement uncertainty heart rate variability (HRV), measured through a commercial smartwatch, while participants were performing office activities. The selected activities (sitting, moving mouse, writing text on laptop, handwriting, walking, walking upstairs/downstairs) are subjected motion artifacts (MA) that can negatively impact HRV signal. Measurement for each activity has been computed comparing acquired by...