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Kaiian Kuok on Muck Rack

Kaiian Kuok

As seen in: Frontiers, MDPI
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Articles

Beyond single-modality screening: toward an EEG–IoT dual-stream framework for early detection of mild cognitive impairment in community-dwelling older adults

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By Jingyi Lin, Kaiian Kuok, Wengioi Mio, Caiyi Tan, Puikei Tou, Chonin Cheang
| Frontiers
1 Introduction Globally, approximately 55 million people live with dementia, a figure projected to exceed 150 million by 2050 (World Health Organization, 2023). Mild cognitive impairment, the transitional state between normal aging and dementia, affects roughly 17.9% (95% CI: 16.6%−19.2%) of community-dwelling adults aged 65 years and older, with annual conversion rates to dementia ranging from 11.6% to 19.1% (Song et al., 2023).
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GDE-Pose: A Real-Time Adaptive Compression and Multi-Scale Dynamic Feature Fusion Approach for Pose Estimation

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By Xuan Liu, Jinwei Ye, Kaiian Kuok, Yaokang Wang
| MDPI
1. Introduction Pose estimation, a key technology in computer vision, plays an essential role across various application domains, particularly in real-time scenarios such as robotic navigation, health monitoring, and sports analysis. By detecting and analyzing the spatial positions of human joints, pose estimation enables accurate tracking and interpretation of dynamic activities [1].
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