Wearable Technology

Wearable technology research centers on developing and improving devices that continuously monitor various health metrics and behaviors, aiming to enhance healthcare, personalized medicine, and daily life monitoring. Current research focuses on improving the accuracy and efficiency of machine learning models, particularly employing transformer networks and convolutional neural networks, for tasks like activity recognition, disease detection (e.g., Parkinson's disease, epilepsy), and stress level assessment, while addressing challenges related to data privacy, noisy labels, and resource constraints in wearable devices. This field is significant due to its potential for early disease detection, personalized health management, and improved quality of life, driving advancements in both machine learning algorithms and the design of more efficient and user-friendly wearable sensors.