On October 15-17, 2024, Ms. Natchaya Sricom, a research engineer from IST-VISTEC, and her co-author, Asst. Prof. Tulaya Limpiti from KMITL, attended the IEEE-BSN 2024 conference in Chicago, USA.
The conference focuses on advancing digital health through innovative sensor technologies, artificial intelligence, and socially responsible approaches. Key topics included the development of wearable, implantable, and contactless sensors, as well as data analytics and decision-support systems tailored for healthcare applications. Attendees discussed cutting-edge solutions for health diagnostics, disease management, and personalized patient care, highlighting the latest advancements in machine learning, flexible electronics, and privacy-focused healthcare technologies. The event also emphasized inclusivity and ethical considerations in digital health technology, aiming to bridge gaps in accessibility and equality for underrepresented communities.
Ms. Sricom and Asst. Prof. Limpiti presented a poster titled ‘BAMS: Binary Sequence-Augmented Spectrogram with Self-Attention Deep Learning for Human Activity Recognition.’ Their research demonstrated how binary sequence-augmented spectrograms and self-attention deep learning can enhance the accuracy of human activity recognition, a key area in health monitoring and sensor-based data analytics.
Their attendance facilitated knowledge exchange and potential collaborations with international leaders in sensor technology, data analytics, and medical device innovation.