CPHS22 Workshop

The Second International Workshop on Cyber-Physical-Human System Design and Implementation

Full-day workshop at CPS-IOT Week. The CPS-IOT Week contains five top conferences, HSCC, ICCPS, IPSN, RTAS, and IoTDI, multiple workshops, tutorials, and exhibitions.

Description

Cyber-physical-human systems (CPHS) are the foundation of many emerging applications such as home assistance, healthcare and wellbeing, smart infrastructure, smart manufacturing, and human-robot interactions. As an advanced subclass of CPS and IoT systems, CPHS emphasizes constructing human-friendly environments/devices and helping humans achieve their goals. Recent advance in AI has opened the possibility of scene and human behavior understanding to a new level. This human-centric view of CPHS significantly complicates system design and implementation in terms of open behavior states, implicit human intent, dynamic device composition, and ethics, privacy, and security concerns.

This workshop brings together academic, industrial, and government researchers to exchange CPHS design and implementation challenges and latest research results. We solicit invited papers and open submissions. Both will be reviewed based on their research vision and academic contribution.

Despite the best efforts of the whole organizing committee, the tail of the pandemic is preventing us from running CPS-IoT Week with an in-person component, as we planned originally. CPS-IoT Week will therefore run as a virtual event. Opting for this choice instead of a hybrid event was a tough decision where we had to strike a balance among several constraints. Detailed information, including registration options, will be available shortly on the website of CPS-IoT Week and of all its conferences and related events.

Topics of Interest

• Cognitive science foundation of human behavior and intent
• Human intent prediction and behavior understanding
• Scene understanding and human-robot/object interaction
• Ethics, security, privacy, and safety issues in CPHS
• On-body, implantable, and ambient devices for CPHS
• System architecture, network protocol, and services for CPHS
• Modeling, programming, inferencing, interfacing, and testing CPHS
• Data management, data quality, and machine learning
• CPHS applications, prototypes, and experiences

Submission Instructions

CPHS accepts double-blind paper submissions which have not been previously published. Posted technical reports (ArXiv or similar) do not count as prior publication and do not violate the double-blind requirement. Submitted papers must contain at most 6 pages (US letter, 9pt font size, double-column format, following the IEEE conference proceedings template), including all figures, tables, and references. All submissions must be written in English and should contain the authors’ names, affiliations, and contact information.

Papers are to be submitted at https://easychair.org/conferences/?conf=cphs22. During the review process, the reviewers may anonymously communicate with the authors for clarifying questions.

Important Dates

• Paper Submission Deadline: February 4, 2022
• Paper Notification: February 28, 2022
• Camera Ready: March 7, 2022
• Workshop: May 3, 2022

Program

CPHS Opening

8:30AM-8:45AM (EST)

Keynote

8:45AM-9:45AM (EST)

Omer Inan is the Linda J. and Mark C. Smith Chair in Bioscience and Bioengineering, Associate Professor of Electrical and Computer Engineering, and Adjunct Associate Professor of Biomedical Engineering at Georgia Tech. He received his BS, MS, and PhD in Electrical Engineering from Stanford in 2004, 2005, and 2009, respectively. From 2009-2013, he was the Chief Engineer at Countryman Associates, Inc., a professional audio manufacturer of miniature microphones and high-end audio products for Broadway theaters, theme parks, and broadcast networks. His research focuses on non-invasive physiological sensing and modulation for human health and performance, and is funded by DARPA, NSF, ONR, NIH, CDC, and industry. He has published more than 275 technical articles in peer-reviewed international journals and conferences, and has eleven issued patents. He has received several major awards for his research including the NSF CAREER award, the ONR Young Investigator award, and the IEEE Sensors Council Early Career award. He also received an Academy Award for Technical Achievement from The Academy of Motion Picture Arts and Sciences (The Oscars). He is an Elected Fellow of the American Institute for Medical and Biological Engineering (AIMBE). While at Stanford as an undergraduate, he was the school record holder and a three-time NCAA All-American in the discus throw.

Title: Wearable Acoustic and Vibration Sensing and Machine Learning for Human Health and Performance

Recent advances in digital health technologies are enabling biomedical researchers to reframe health optimization and disease treatment in a patient-specific, personalized manner. This talk will focus on my group’s research in three areas of relevance to digital health: (1) cardiogenic vibration sensing and analytics; (2) musculoskeletal sensing with joint acoustic emissions and bioimpedance; and (3) non-invasive neuromodulation for stress. Our group has extensively studied the timings and characteristics of cardiogenic vibration signals such as the ballistocardiogram and seismocardiogram, and applied these signals for cuffless blood pressure measurement, heart failure monitoring, and human performance. We have also leveraged miniature contact microphones to measure the sounds emitted by joints, such as the knees, in the context of movement, and have examined how these acoustic characteristics are altered by musculoskeletal injuries and disorders (e.g., arthritis). Finally, we have developed non-pharmacological treatment paradigms for posttraumatic stress disorder (PTSD) based on non-invasive vagal nerve stimulation, and have performed extensively validation of this approach with collaborators in psychiatry and radiology. We envision that these technologies can all contribute to improving patient care with lower cost.

Break

9:45AM-10:45AM (EST)

CPHS Session I

10:45AM-11:45AM (EST)

12 minute presentation + 3 minute Q&A

• CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator

Yujiao Hao, Boyu Wang and Rong Zheng

• Here To Stay: A Quantitative Comparison of Virtual Object Stability in Markerless Mobile AR

Tim Scargill, Gopika Premsankar, Jiasi Chen and Maria Gorlatova

• Device-Free Exercise Estimation in Strength Training Using a Pull-up Machine

Koya Namba, Yugo Nakamura and Yutaka Arakawa

• Short Stick Exercise Tracking System for Elderly Rehabilitation using IMU Sensor

Kazuki Oi, Yugo Nakamura, Yuki Matsuda, Manato Fujimoto and Keiichi Yasumoto

Break

11:45AM-12:00PM (EST)

CPHS Session II

12:00PM-1:00PM (EST)

Topic: Wireless technologies for human-machine interaction

• Fred Jiang [link]

Dr. Xiaofan Jiang is an Associate Professor in the Electrical Engineering Department at Columbia University and co-Chair of Smart Cities Center in the Data Science Institute. I lead the Columbia Intelligent and Connected Systems Lab. I received my B.Sc. (2004), M.Sc. (2007), and Ph.D. (2010) in Computer Science, all from UC Berkeley. Before joining Columbia, I was Senior Staff Researcher at Intel Labs China. My research lies at the intersection of systems and data, with a focus on mobile and wearable systems, intelligent built environments, Internet of Things, and connected health.

• Shijia Pan [link]

Dr. Shijia Pan is an assistant professor in the Computer Science and Engineering Department. She received her Bachelor’s degree in Computer Science and Technology from the University of Science and Technology of China (USTC) and her Ph.D. degree in Electrical and Computer Engineering at Carnegie Mellon University (CMU). Her research interests include cyber-physical systems, Internet-of-Things (IoT), and ubiquitous computing. She worked in multiple disciplines and focused on self-assessing and self-adaptive heterogeneous cyber-physical systems for accurate human information inference.

• Chenren Xu [link]

Prof. Chenren Xu is an Endowed Boya Young Fellow Associate Professor (with early tenure) in the School of Computer Science at Peking University (PKU) where he directs Software-hardware Orchestrated ARchitecture (SOAR) Lab, and enjoys inventing future mobile technologies with his students to bridge the gap between networking and transportation for improving high mobility data networking, e.g., world’s first roadway retroreflective V2X prototype for scalable vehicular networking, and collaborative edge networking and computing systems for high-speed railways. He earned his Ph.D. from WINLAB, Rutgers University, and worked as postdoctoral fellow in Carnegie Mellon University and visiting scholars in AT&T Shannon Labs and Microsoft Research.

Break

1:00PM-1:15PM (EST)

CPHS Session III

1:15PM-1:45PM (EST)

• Privacy-Aware Human Mobility Prediction via Adversarial Networks

Yuting Zhan, Hamed Haddadi and Afra Mashhadi

• MedBuds: In-Ear Inertial Medication Taking Detection Using Smart Wireless Earbuds

Murtadha Aldeer, David Waterworth, Zawar Hussain, Tahiya Chowdhury, Christian Brito, Quan Z. Sheng, Richard P. Martin, Jorge Ortiz

Closing

1:45PM-1:50PM (EST)

Technical Program Co-Chairs

• Wenyao Xu, University at Buffalo, USA. Web
• Jorge Ortiz, Rutgers University, USA. Web
• Zhijun Li, Harbin Institute of Technology, China. Email: lizhijun_os@hit.edu.cn

Technical Program Committee

• Mi Zhang, Michigan State University, USA.
• Shijia Pan, UC Merced, USA.
• Gabe Fierro, Colorado School of Mines, USA.
• Zhengxiong Li, University of Colorado Denver, USA.
• Susu Xu, Stony Brook University, USA.
• Brad Campbell, University of Virginia, USA.
• Feng Lin, Zhejiang University, China.
• Fred Jiang, Columbia University, USA.

Publication Chair

• TBD

Zoom Chair

• Murtadha Aldeer, Rutgers University, USA.

Zoom Master

• Tahiya Chowdhury, Rutgers University, USA.

Digital Support Co-Chairs

• Matthew Rubino, University at Buffalo, USA. Email: mrrubino@buffalo.edu
• Huining Li, University at Buffalo, USA. Email: huiningl@buffalo.edu