In sports, virtual spaces are sometimes utilized to enhance performance or user experience.
In this study, we conducted a frequency analysis, semantic network analysis, and topic …

Electronic coaching (eCoach) facilitates goal-focused development for individuals to
optimize certain human behavior. However, the automatic generation of personalized …

Background Synthetic data is an emerging approach for addressing legal and regulatory
concerns in biomedical research that deals with personal and clinical data, whether as a …

While data is the cornerstone of modern design strategies, design researchers frequently
struggle when performing data work. This creates a need to design tools that enable design …

Datasets are key to develo** new machine learning-based applications but are very costly
to prepare, which hinders research and development in the field. We propose an edge-to …

Computational analysis and integration of smartwatch data with Electronic Medical Records
(EMR) present potential uses in preventing, diagnosing, and managing chronic diseases …

Limited access to medical data is a barrier on develo** new and efficient machine
learning solutions in medicine such as computer-aided diagnosis, risk assessments …

Introduction One way to improve exercise performance and protect heart health is the
extended synchronization of the step** with the diastolic phase of the cardiac cycle …

Mental health disorders are among the most prevalent diseases worldwide, affecting nearly
one in four people. Despite their widespread impact, the intervention rate remains below …

In this work, we present and evaluate a crowdsourcing platform to collect wearable IoT data
with local differential privacy (LDP). LDP protects privacy by perturbing data with noise …