IEEE EMBS (In submission), 2024
Yuewen Luo; Ayman Anwar; Farnaz Khodami; James L. Coyle; and Ervin Sejdic
This work introduces spectrogram-based CNN and RNN encoders that compress high-dimensional HRCA signals into compact representations while preserving critical swallowing features, achieving state-of-the-art accuracy for dysphagia classification and supporting real-time bedside assessment.
ICCV CV4E Workshop, 2025
Yuewen Luo; Ungku Zoe Anysa Ungku Faiz; Chelsea Rochman; Florian Shkurti
We present MPVision, an end-to-end computer vision pipeline that automates microplastic detection, classification, and measurement, achieving over 95% accuracy while reducing analysis time by nearly an order of magnitude.
ACM CHI, 2025
Bingjian Huang; Siyi Ren; Yuewen Luo; Qilong Cheng; Hanfeng Cai; Yeqi Sang; Mauricio Sousa; Paul H. Dietz; Daniel Wigdor
VibraForge introduces a scalable, open-source toolkit for building spatialized vibrotactile feedback systems, enabling up to 128 actuators with fine-grained control, supported by a GUI editor and validated through case studies in phonemic displays, VR fitness, and drone teleoperation.
IEEE EMBC, 2024
Yuewen Luo; Ayman Anwar; Siyi Ren; James L. Coyle; Ervin Sejdić.
We developed an AI-powered software that enables real-time, non-invasive swallowing assessment using HRCA signals with 99% diagnostic accuracy, offering a safe and accessible alternative to radiation-based methods
UIST, 2024
Yuewen Luo; Siyi Ren; Zhaodong Jiang; Bingjian Huang; Daniel Wigdor
TactileNet introduces a prototype system that combines gesture recognition, depth estimation, and a novel roller-based actuator to transmit realistic touch sensations over the internet, enhancing remote haptic communication.
