The proliferation of wearable technology enables the generation of vast amounts of sensor
data, offering significant opportunities for advancements in health monitoring, activity …

Speech-centric machine learning systems have revolutionized a number of leading
industries ranging from transportation and healthcare to education and defense …

Highlights•AI enables early detection and large-scale monitoring of stress-related
issues.•LLM improves stress detection using advanced natural language processing …

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 …

Multimodal emotion recognition has attracted increasing interest from academia and
industry in recent years, since it enables emotion detection using various modalities, such as …

Background Intensive care unit (ICU) residents are exposed to high stress levels due to the
intense nature of their work, which can impact their mental health and job performance …

Mental health is becoming an increasingly prominent health challenge. Despite a plethora of
studies analysing and mitigating bias for a variety of tasks such as face recognition and …

Ubiquitous sensing from wearable devices in the wild holds promise for enhancing human
well-being, from diagnosing clinical conditions and measuring stress to building adaptive …

Social agents and robots are increasingly being used in wellbeing settings. However, a key
challenge is that these agents and robots typically rely on machine learning (ML) algorithms …

Medical residency training is often associated with physically intense and emotionally
demanding tasks, requiring them to engage in extended working hours providing complex …