Dear Colleagues,

Intelligent Wearable Sensors and Artificial Intelligence for Monitoring Human Vital Signs:

Wearable sensors can provide accurate and reliable activity and behavior data. In recent years, wearable sensors have become increasingly popular, notably in medical fields that monitor physiological processes. Medical professionals can monitor patients' body temperature, heart rate, brain activity, muscle mobility, and other vital data. Simple body-worn sensors are needed for regular medical monitoring. The hardest component of mobile and wearable-sensor-based human activity detection is feature extraction. Feature extraction improves algorithm performance and simplifies computation. The complexity and variety of body activities make it hard to distinguish them quickly, precisely, and automatically. AI is increasingly needed to solve this challenge. These methods are being used for automatic feature learning in health, image classification, and, recently, feature extraction and classification of simple and complex human activity recognition in mobile and wearable sensors due to deep learning and increased computational power. Context-aware applications in developing sectors like the Internet of Things (IoT) and healthcare have been inspired by human activity recognition technology that analyzes data from vision and embedded sensors.

This Special Issue collects cutting-edge research, tutorials, and perspective papers on the wide issues of developing wearable-sensor-based health solutions. Submissions of completed and unpublished work not under review by another journal, magazine, or conference are encouraged.

Dr. Shashi Kant Gupta

Section Editor