About




Pulse of HKUST aims to promote a smart campus which supports effective and smart decision-makings through the combined power of IoT devices, big data, and AI.

It serves as a data-driven platform to palpate the “pulse” of the campus community such as human crowds, facility availability, and events. The platform automatically senses real-time crowds based on Wi-Fi access logs and CCTV videos, and visualizes crowd distribution and movement appealingly. It further applies big data technologies to derive useful information about facility status, and utilizes AI techniques to predict crowds. Finally, it communicates those data to the public on various platforms including large-screen displays, Kiosk machines, and mobile websites. In addition, user privacy is strictly protected under the governance of the university by filtering out any personal information and setting restricted access to any sensitive data.

This project allows both the campus community and visitors to share the benefits of a smart campus. By analyzing and communicating campus big data, it provides a data-driven solution for smart decision-makings on mobility and facility management. As such, it promotes a better campus experience, quality of life, and a stronger sense of ownership, making HKUST a leader in the open-data movement. The generated data is shared and beneficial to further studies on crowd behavior, transportation plan, and facility management, offering references for smart city development.

News

Feb 2019: Pulse of HKUST was highlighted in the HKUST Sustainable Smart Campus as a Living Lab launching event, and received extensive media coverage including 明報, 東網, 香港新聞網, 信報, 文匯報, 新浪教育, 人民網, 新華網, 香港01, 星島, 東方日報, 中联办, 頭條日報, 香港仔, 灼見名家, 香港經濟日報, the Standard, China Daily etc.

Nov 2018: Our project was selected as one of the first seven HKUST Sustainable Smart Campus as a Living Lab initiatives and received a funding of HKD 2,600,000.

Dec 2018: Our story was available at the School of Engineering yearbook In Focus.

Oct 2018: Mr. Wu presented this work as an extended abstract at the VISComm Workshop, IEEE VIS at Berlin.

Sep 2018: We released our first demo at the Engineering Commons starting at the HKUST Information Day 2018, which visualized the real-time crowdedness such as waiting time at bus stops and available seats at canteens. Our project was also briefly covered by the Sing Pao Daily.

The Team

Prof. QU Huamin

Supervisor

WU Aoyu

Team Leader

KU Bon Kyung

M.Phil

TONG Wai

M.Phil

SHU Xinhuan

Ph.D. Candidate

CHENG Furui

Ph.D. Student

WANG Yifang

Ph.D. Student

YANG Leni

Ph.D. Student

Get in Touch

Address

CYT 3007, Hong Kong University of Science and Technology
Clear Water Bay, Kowloon, Hong Kong

Contact

Aoyu Wu: awuac at ust dot hk