Led by Prof. Wan-Jung Chang, the iCPS Lab research team presented its eardrum lesion recognition research, "iEar," at the 2026 IEEE 15th Global Conference on Consumer Electronics (GCCE 2026) and received the Silver Prize in the Excellent Demo Awards. The award highlights the lab's research achievements in artificial intelligence-based image analysis, smart healthcare, and interdisciplinary collaboration.
GCCE 2026 takes place from October 26 to 29, 2026, at the Kobe International Conference Center in Kobe, Japan. Sponsored by the IEEE Consumer Technology Society, this annual international conference brings together academic and industry professionals in consumer electronics and related technologies to exchange findings in system design, innovative technologies, and applied research.
According to statistics announced at the conference venue, this year's conference received 894 submissions from 28 countries and accepted 605, comprising 404 oral presentations, 179 poster presentations, and 22 demonstrations. Through its participation, iCPS Lab brought its research to an international showcase, shared its research direction in applying artificial intelligence to otologic image analysis, and expanded opportunities for exchanges with research teams across different fields.
The award-winning paper, iEar: A Dual-Representation Approach for Eardrum Lesion Recognition Using Detection and Segmentation, focuses on recognizing lesions in eardrum images. It combines detection and segmentation methods to explore the application of dual representations to eardrum lesion analysis. Detection identifies where a target is located, while segmentation describes the extent of the target region. Through these two analytical perspectives, the study explores image recognition methods for eardrum lesions. This work also reflects contributions from partners across academic institutions, industry, and healthcare, representing the results of interdisciplinary research.
Under the conference's official selection criteria, the Excellent Demo Awards consider both paper review results and conference presentation performance, with particular emphasis on the appeal of the live technical demonstration and the clarity of its explanation. The Silver Prize recognizes the team's research and technical demonstration performance and marks an important achievement in the lab's continued work in research implementation and international exchange.
iCPS Lab thanks all research team members and collaborating partners for their shared contributions. The lab will continue to deepen its research in artificial intelligence and medical image analysis, advance smart healthcare technologies through interdisciplinary collaboration, and develop students' capabilities across the full research process, from problem definition and method design to system implementation and international presentation. It will continue to build a body of research with both academic and applied value.