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While ubiquitous wearable sensors capture a wealth of behavioral and physiological information, effectively transforming these signals into personalized health insights is challenging. Specifically, converting low-level sensor data into…

The escalating prevalence of diabetes globally underscores the need for diabetes management. Recent research highlights the growing focus on digital biomarkers in diabetes management, with innovations in computational frameworks and…

Artificial Intelligence · Computer Science 2024-04-22 Ziyi Zhou , Ming Cheng , Xingjian Diao , Yanjun Cui , Xiangling Li

Body sounds provide rich information about the state of the human body and can be useful in many medical applications. Auscultation, the practice of listening to body sounds, has been used for centuries in respiratory and cardiac medicine…

Human-Computer Interaction · Computer Science 2020-08-13 Shyam A. Tailor , Jagmohan Chauhan , Cecilia Mascolo

Ubiquitous in-home health monitoring systems have become popular in recent years due to the rise of digital health technologies and the growing demand for remote health monitoring. These systems enable individuals to increase their…

Human-Computer Interaction · Computer Science 2024-06-05 Farhad Pourpanah , Ali Etemad

Plantar pressure measurement, or pedobarography, is an essential tool for analyzing human motion in healthy individuals and patients. Across the reviewed literature, sensor insoles are motivated as wearable, mobile solutions for assessing…

Circadian rhythms govern biological patterns that follow a 24-hour cycle. Dysfunctions in circadian rhythms can contribute to various health problems, such as sleep disorders. Current circadian rhythm assessment methods, often invasive or…

Signal Processing · Electrical Eng. & Systems 2024-04-05 Fan Wu , Patrick Langer , Jinjoo Shim , Elgar Fleisch , Filipe Barata

Assessing the health of both the fetus and mother is vital in preventing and identifying possible complications in pregnancy. This paper focuses on a device that can be used effectively by the mother herself with minimal supervision and…

Wearables equipped with pervasive sensors enable us to monitor physiological and behavioral signals in our everyday life. We propose the WellAff system able to recognize affective states for wellbeing support. It also includes health care…

Mobile applications and on-body devices are becoming increasingly ubiquitous tools for physical activity tracking. We propose utilizing a self-tracker's habits to support continuous prediction of whether they will reach their daily step…

Human-Computer Interaction · Computer Science 2016-10-19 Adam Wang , Steve Chang , John Wilson

Advances in wearable technologies provide the opportunity to monitor many physiological variables continuously. Stress detection has gained increased attention in recent years, mainly because early stress detection can help individuals…

Depression is a complex mental disorder characterized by a diverse range of observable and measurable indicators that go beyond traditional subjective assessments. Recent research has increasingly focused on objective, passive, and…

Machine Learning · Computer Science 2025-04-21 Yassine Ouzar , Clémence Nineuil , Fouad Boutaleb , Emery Pierson , Ali Amad , Mohamed Daoudi

The study of biomechanics during locomotion provides valuable insights into the effects of varying conditions on specific movement patterns. This research focuses on examining the influence of different shoe parameters on walking…

We describe a case study with the participation of a Danish veteran suffering from post-traumatic stress disorder (PTSD). As part of psychotherapeutic treatment the participant and therapist have used our novel technique for instrumenting…

Human-Computer Interaction · Computer Science 2017-03-13 Jakob Eg Larsen , Kasper Eskelund , Thomas Blomseth Christiansen

Wearable devices such as smartwatches, fitness trackers, and blood-pressure monitors process, store, and communicate sensitive and personal information related to the health, life-style, habits and interests of the wearer. This data is…

Cryptography and Security · Computer Science 2021-05-25 Ludovic Barman , Alexandre Dumur , Apostolos Pyrgelis , Jean-Pierre Hubaux

Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise…

Computers and Society · Computer Science 2016-02-01 Katrin Hänsel , Natalie Wilde , Hamed Haddadi , Akram Alomainy

The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, including both the measurement of eating episodes as well as…

Human-Computer Interaction · Computer Science 2022-06-08 Christos Diou , Konstantinos Kyritsis , Vasileios Papapanagiotou , Ioannis Sarafis

This review reports the user experience of symptom checkers, aiming to characterize users studied in the existing literature, identify the aspects of user experience of symptom checkers that have been studied, and offer design suggestions.…

Human-Computer Interaction · Computer Science 2022-08-22 Yue You , Renkai Ma , Xinning Gui

Introduction. The stress response has both subjective, psychological and objectively measurable, biological components. Both of them can be expressed differently from person to person, complicating the development of a generic stress…

Artificial Intelligence · Computer Science 2023-04-18 Gideon Vos , Kelly Trinh , Zoltan Sarnyai , Mostafa Rahimi Azghadi

In recent years, there has been a shift of interest towards the field of biometric authentication, which proves the identity of the user using their biological characteristics. We explore a novel biometric based on the electrical activity…

Cryptography and Security · Computer Science 2019-06-24 Nikita Samarin , Donald Sannella

Shift workers who are essential contributors to our society, face high risks of poor health and wellbeing. To help with their problems, we collected and analyzed physiological and behavioral wearable sensor data from shift working nurses…

Machine Learning · Computer Science 2021-06-24 Han Yu , Asami Itoh , Ryota Sakamoto , Motomu Shimaoka , Akane Sano
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