Mobile and Wireless Sensing for Smart Healthcare

Technical Program

The worksop will be a fully virtual event. Please register on the Mobicom 2022 Website to receive the information to join this workshop.

Note: The date and time of this workshop are based on Beijing Time (UTC/GMT +8.00). Please use the Time Zone Converter Tool to identify the workshop time in your region.

Beijing Time

Sydney Time

(+3 hours)

9:00am-9:15am

12:00pm-12:15pm

Welcome!

9:15am-10:00am

12:15pm-13:00pm

Keynote 1: "AI Under Resource Constraints"

Speaker: Jie Liu (IEEE Fellow, ACM Distinguished Scientist, Harbin Institute of Technology, Shenzhen)

10:00am-10:30am

13:00pm-13:30pm

Break

10:30am-11:30am

13:30pm-14:30pm

Session 1

  • WiFi-based Robust Indoor Localization for Daily Activity Monitoring
  • Sai Deepika Regani, Yuqian Hu, Beibei Wang, K. J. Ray Liu
  • GPSLAM: Towards Scalable and Sustainable Indoor Positioning Systems with Mobile Data
  • Ran Guan, Mengchao Li, Zhi Li, Caifa Zhou, Maaz Mohammed Butt
  • ARD: Accurate and Reliable Fall Detection with Using a Single Wearable Inertial Sensor
  • Li Zhang, Qiuyu Wang, Huilin Chen, Jinhui Bao, Jingao Xu, Danyang Li

11:30am-13:30pm

14:30pm-16:30pm

Lunch Break

13:30pm-14:15pm

16:30pm-17:15pm

Keynote 2: "MmWave Sensing for Smart Healthcare"

Speaker: Tao Gu (Professor, School of Computing, Macquarie University)

14:15pm-15:15pm

17:15pm-18:15pm

Session 2

  • RPAA: An algorithm for R peak annotation in high-noise ECG signals based on deep learning
  • Rui Cao, Guohua Liu
  • AI enabled RPM for Mental Health Facility
  • Thanveer Shaik, Xiaohui Tao, Niall Higgins, Haoran Xie, Raj Gururajan, Xujuan Zhou
  • Brain Tumor Segmentation Based on CBAM-TransUNet
  • Chen Xingxin, Lei Yang

15:15pm-15:30pm

18:15pm-18:30pm

Concluding Remarks

Copyright © 2022.Mobicom'22 MWSSH workshop All rights reserved.

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