Lidia Alecci |https://pc.inf.usi.ch/people/lidia-alecci/Lidia AlecciHugoBlox Kit (https://hugoblox.com)en-usThu, 01 Jan 2026 00:00:00 +0000https://pc.inf.usi.ch/media/people/lidia-alecci_hu_74f186adfc62db63.pngLidia Aleccihttps://pc.inf.usi.ch/people/lidia-alecci/A foundation model for electrodermal activity datahttps://pc.inf.usi.ch/publications/dblp-journalscorrabs-2603-16878/Thu, 01 Jan 2026 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-journalscorrabs-2603-16878/Longitudinal assessment of chorea in Huntington's disease using digital passive monitoringhttps://pc.inf.usi.ch/publications/dblp-journalsnpjdm-lugrin-asvgkmwd-26/Thu, 01 Jan 2026 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-journalsnpjdm-lugrin-asvgkmwd-26/Measured Enough: How Academic Knowledge Workers Negotiate Data Sharing and Controlhttps://pc.inf.usi.ch/publications/dblp-confchi-abdalazim-zadls-26/Thu, 01 Jan 2026 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confchi-abdalazim-zadls-26/Blue Mondays and Happy Meals: Investigating the Impact of Contextual Factors on Mood Stateshttps://pc.inf.usi.ch/publications/dblp-confhuc-abdalazim-aafs-25/Wed, 01 Jan 2025 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confhuc-abdalazim-aafs-25/Exploring Generalist Foundation Models for Time Series of Electrodermal Activity Datahttps://pc.inf.usi.ch/publications/dblp-confhuc-alchieri-caafs-25/Wed, 01 Jan 2025 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confhuc-alchieri-caafs-25/Mitigating Interpersonal Variability in Machine Learning Models for Human Behavior Monitoringhttps://pc.inf.usi.ch/publications/dblp-confhuc-alecci-25/Wed, 01 Jan 2025 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confhuc-alecci-25/Robust PPG Authentication: The Role of Temporal, Individual, and State Variabilityhttps://pc.inf.usi.ch/publications/dblp-confhuc-alecci-zlaafs-25/Wed, 01 Jan 2025 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confhuc-alecci-zlaafs-25/Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Deviceshttps://pc.inf.usi.ch/publications/dblp-journalsimwut-alchieri-aaggs-24/Mon, 01 Jan 2024 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-journalsimwut-alchieri-aaggs-24/BiHeartShttps://pc.inf.usi.ch/datasets/bihearts/Sun, 01 Jan 2023 00:00:00 +0000https://pc.inf.usi.ch/datasets/bihearts/<p>Sleep is the primary mean of recovery from accumulated fatigue and thus plays a crucial role in fostering people&rsquo;s mental and physical well-being. Sleep quality monitoring systems are often implemented using wearables that leverage their sensing capabilities to provide sleep behaviour insights and recommendations to users. Building models to estimate sleep quality from sensor data is a challenging task, due to the variability of both physiological data, perception of sleep quality, and the daily routine across users. This challenge gauges the need for a comprehensive dataset that includes information about the daily behaviour of users, physiological signals as well as the perceived sleep quality. In this paper, we try to narrow this gap by proposing Bilateral Heart rate from multiple devices and body positions for Sleep measurement (BiHeartS) dataset. The dataset is collected in the wild from 10 participants for 30 consecutive nights. Both research-grade and commercial wearable devices are included in the data collection campaign. Also, comprehensive self-reports are collected about the sleep quality and the daily routine.</p>BiHeartS: Bilateral Heart Rate from multiple devices and body positions for Sleep measurement Datasethttps://pc.inf.usi.ch/publications/dblp-journalscorrabs-2308-06811/Sun, 01 Jan 2023 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-journalscorrabs-2308-06811/Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognitionhttps://pc.inf.usi.ch/publications/dblp-confhuc-alecci-aabsg-23/Sun, 01 Jan 2023 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confhuc-alecci-aabsg-23/HeartShttps://pc.inf.usi.ch/datasets/hearts/Sun, 01 Jan 2023 00:00:00 +0000https://pc.inf.usi.ch/datasets/hearts/Recognition of Engagement from Electrodermal Activity Data Across Different Contextshttps://pc.inf.usi.ch/publications/dblp-confhuc-alchieri-aas-23/Sun, 01 Jan 2023 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confhuc-alchieri-aas-23/M2Sleephttps://pc.inf.usi.ch/datasets/m2sleep/Fri, 01 Apr 2022 00:00:00 +0000https://pc.inf.usi.ch/datasets/m2sleep/<p>Personal informatics systems can help people promote their health and well-being. Recent studies have shown that such systems can be used to infer relevant health indicators such as, e.g., stress, anxiety, and sleeping habits. While automatic detection of sleep has been studied extensively, there is a lack of studies exploring how population and personalized models influence the performance of sleep detection. In this article, we address this challenge by investigating the recognition of sleep/wake stages and high/low sleep quality with a focus on the impact of personalized models. To evaluate our approach, we collect a dataset of physiological signals and self-reports about sleep/wake times and sleep quality score. The dataset contains 6557 hours of sensor data collected using wristbands from 16 participants over one month. Our results show that personalized models perform significantly better than population models for sleep quality recognition, and are comparably good for sleep stage detection. The balanced accuracy for sleep/wake and high/low sleep quality are 92.2% and 61.51%, which are significantly higher than baseline classifiers.</p>Handling Missing Data For Sleep Monitoring Systemshttps://pc.inf.usi.ch/publications/dblp-confacii-gashi-aglmmdgs-22/Sat, 01 Jan 2022 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confacii-gashi-aglmmdgs-22/Heart Rate During Sleep Measured Using Finger-, Wrist- and Chest-Worn Devices: A Comparison Studyhttps://pc.inf.usi.ch/publications/dblp-confph-abdalazim-laasg-22/Sat, 01 Jan 2022 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confph-abdalazim-laasg-22/On the Impact of Lateralization in Physiological Signals from Wearable Sensorshttps://pc.inf.usi.ch/publications/dblp-confhuc-alchieri-aagls-22/Sat, 01 Jan 2022 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confhuc-alchieri-aagls-22/On the mismatch between measured and perceived sleep qualityhttps://pc.inf.usi.ch/publications/dblp-confhuc-alecci-aags-22/Sat, 01 Jan 2022 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-confhuc-alecci-aags-22/The Role of Model Personalization for Sleep Stage and Sleep Quality Recognition Using Wearableshttps://pc.inf.usi.ch/publications/dblp-journalspervasive-gashi-aldgs-22/Sat, 01 Jan 2022 00:00:00 +0000https://pc.inf.usi.ch/publications/dblp-journalspervasive-gashi-aldgs-22/