no code implementations • 3 Mar 2024 • Adiba Orzikulova, Han Xiao, Zhipeng Li, Yukang Yan, Yuntao Wang, Yuanchun Shi, Marzyeh Ghassemi, Sung-Ju Lee, Anind K Dey, Xuhai "Orson" Xu
Participants preferred the adaptive interventions and rated the system highly on intervention time accuracy, effectiveness, and level of trust.
1 code implementation • 10 Dec 2023 • Linxi Zhao, Jiankai Tang, Dongyu Chen, Xiaohong Liu, Yong Zhou, Yuanchun Shi, Guangyu Wang, Yuntao Wang
In this study, we present a pioneering effort in constructing a comprehensive nailfold capillary dataset-321 images, 219 videos from 68 subjects, with clinic reports and expert annotations-that serves as a crucial resource for training deep-learning models.
no code implementations • 28 Sep 2023 • Ruolan Wu, Chun Yu, Xiaole Pan, Yujia Liu, Ningning Zhang, Yue Fu, YuHan Wang, Zhi Zheng, Li Chen, Qiaolei Jiang, Xuhai Xu, Yuanchun Shi
We first conducted a Wizard-of-Oz study (N=12) and an interview study (N=10) to summarize the mental states behind problematic smartphone use: boredom, stress, and inertia.
no code implementations • 18 Mar 2023 • Xiyuxing Zhang, Yuntao Wang, Jingru Zhang, Yaqing Yang, Shwetak Patel, Yuanchun Shi
Subject cough event detection is the foundation for continuous cough monitoring.
no code implementations • 18 Mar 2023 • Jiexin Ding, Bowen Zhao, Yuqi Huang, Yuntao Wang, Yuanchun Shi
Automatic unknown word detection techniques can enable new applications for assisting English as a Second Language (ESL) learners, thus improving their reading experiences.
no code implementations • 18 Mar 2023 • Yuntao Wang, Zirui Cheng, Xin Yi, Yan Kong, Xueyang Wang, Xuhai Xu, Yukang Yan, Chun Yu, Shwetak Patel, Yuanchun Shi
Modeling the trade-off of privacy preservation and machine recognition performance can guide future privacy-preserving computer vision systems using low-resolution image sensors.
2 code implementations • 8 Feb 2023 • Jiankai Tang, Kequan Chen, Yuntao Wang, Yuanchun Shi, Shwetak Patel, Daniel McDuff, Xin Liu
Second, most datasets are relatively small and therefore are limited in diversity, both in appearance (e. g., skin tone), behaviors (e. g., motion) and environment (e. g., lighting conditions).
no code implementations • 14 Oct 2022 • Ziqi Gao, Yuntao Wang, Jianguo Chen, Junliang Xing, Shwetak Patel, Xin Liu, Yuanchun Shi
The efficiency evaluation on an edge device showed that MMTSA achieved significantly better accuracy, lower computational load, and lower inference latency than SOTA methods.