CPHS21 Workshop - virtual
The First International Workshop on Cyber-Physical-Human System Design and Implementation
Full-day workshop on May 18th, 2021 at CPS-IOT Week. The CPS-IOT Week contains five top conferences, HSCC, ICCPS, IPSN, RTAS and IoTDI, multiple workshops and tutorials and exhibitions.
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 human to 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, as well as ethics, privacy, and security concerns.
This workshop intents to bring together academic, industrial, and government researchers to exchange CPHS design and implementation challenges and latest research results. We will solicit invited papers and open submissions. Both papers will be reviewed based on their research vision and academic contribution. We will also solicit posters for early work.
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
Tentative Program (Tuesday, May 18th, 2021)
7 - 8PM EDT
Daqing Zhang, Chair Professor at Peking University, China and Telecom SudParis, France. His research interests include ubiquitous computing, context-aware computing, big data analytics and Intelligent IoT. He has published more than 300 technical papers in leading conferences and journals, where his work on context model and WiFi-based sensing theory is widely accepted by pervasive computing, mobile computing and service computing communities. His research work got over 20,000 citations with an H-index of 71 (according to Google Scholar). He is the winner of the Ten Years CoMoRea Impact Paper Award at IEEE PerCom 2013 and Ten Years Most Influential Paper Award at IEEE UIC 2019, the Honorable Mention Award at ACM UbiComp 2015 and 2016, etc.. He served as the general or program chair for more than a dozen of international conferences, and in the editorial board of IEEE Pervasive Computing, ACM TIST and ACM IMWUT. He obtained his PhD from University of Rome “La Sapienza” and is a Fellow of IEEE.
-Title : Continuous Daily Status Monitoring of Elders with Commodity Wi-Fi Devices
With the ubiquitous deployment of Wi-Fi infrastructure in ordinary homes, WiFi-based contactless sensing has become an ideal way for elder care and health monitoring. While continuous daily activity monitoring has been found inaccurate and unstable using commodity Wi-Fi signals, due to well-known challenges in automatic activity segmentation and location/orientation independent activity recognition, hindering real applications of commodity WiFi-based solutions in home-based elder care. In this work, with the insight that an elder’s health status and living habits are closely related to one’s daily spatio-temporal activity patterns, we propose to build a continuous daily status monitoring system for elders using home-owned WiFi infrastructure. Specifically, we develop WiBorder – an accurate room-level localization algorithm to determine an elder’s location in real-time, and a continuous activity segmentation and identification system to report elder’s activity status, in such a way we could obtain an elder’s daily status log in the form of triple (time, location, activity) continuously and non-intrusively. By analyzing and visualizing an elder’s daily status log, we could inform an elder’s daily habits, health status, abnormal events and gradual behavior changes.
Session 1: Human Sensing
Session Chair: Prof. Feng Li
8 - 9PM EDT, 12 min + 3 min Q & A for each paper
cphs21-s1-paper1: Is General Purpose Sensing a Pipe Dream? A Case Study in Ambient Multi-sensing for Human Activity Recognition file
Tahiya Chowdhury (Rutgers University), Murtadha Aldeer (Rutgers University), Justin Yu (Rutgers University), Joseph Florentine (Rutgers University), Amber Haynes (Rutgers University), Jorge Ortiz (Rutgers University)
cphs21-s1-paper2: Vibration-Based Indoor Human Sensing Quality Reinforcement via Thompson Sampling (invited) file
Tong Yu (Carnegie Mellon University), Yue Zhang (University of California, Merced), Zhizhang Hu (University of California, Merced), Susu Xu (Stony Brook University), Shijia Pan (University of California, Merced)
cphs21-s1-paper3: Is That You Again? Adaptive Learning Techniques for User Identification in Smart Pill Bottle Systems file
Murtadha Aldeer (Rutgers University), Richard Howard (Rutgers University), Richard P. Martin (Rutgers University), Jorge Ortiz (Rutgers University)
cphs21-s1-paper4: Postural Balance of Kneeling Gaits on Inclined and Elevated Surface for Construction Workers (invited)
Siyu Chen (Rutgers University), Yi Yu (Rutgers University), Chong Di (Rutgers University), Duncan T. Stevenson (Rowan University), Mitja Trkov (Rowan University), Jie Gong (Rutgers University), and Jingang Yi (Rutgers University)
9 - 10PM EDT
-Panel : Challenges and Opportunities in Designing and Developing Cyber-Physical-Human Systems
Yingying Chen, Professor, Electrical and Computer Engineering, Rutgers University
Santosh Kumar, Professor, Director of NIH mHealth Center for Discovery, Optimization, and Translation of Temporally-Precise Interventions, The University of Memphis
Jie Liu, Professor, Director of AI Institute, HIT-SZ
Jorge Ortiz, Assistant Professor, Rutgers University
Moderator: Rong Zheng, Professor, McMaster University
Session 2: Sensing for Human
Session Chair: Prof. Siyao Cheng
10:10 - 10:30PM EDT, 12 min + 3 min Q & A for the paper, 5 min for the demo/poster
cphs21-s2-paper1: A Low-Cost and Scalable Personalized Thermal Comfort Estimation System in Indoor file
Peter Wei (Columbia University), Yanchen Liu (Columbia University), Hengjiu Kang (Columbia University), Chenye Yang (Columbia University), Xiaofan Jiang (Columbia University)
cphs21-s2-demo/poster1: Metadata-based IoT device automated management system file
Zhaoxin Luo (Haribin Institute of Technology), Zhijun Li (Haribin Institute of Technology), Simin Luan (Harbin Engineering University), Weijun Zhuang (Haribin Institute of Technology (Shenzhen)), Junqi Yang (Haribin Institute of Technology)
Session 3: Robotics and Assistive Technologies for Human
Session Chair: Prof. Siyao Cheng
10:30 - 11:00PM EDT, 12 min + 3 min Q & A for each paper
cphs21-s3-paper1: ADAS-RL: Adaptive Vector Scaling Reinforcement Learning For Human-in-the-Loop Lane Departure Warning file
Armand Ahadi-Sarkani (University of California, Irvine), Salma Elmalaki (University of California, Irvine)
cphs21-s3-paper2: Design of a Lightweight and Flexible Knee Exoskeleton with Compensation Strategy file
Zhipeng Wang (Haribin Institute of Technology), Chifu Yang (Haribin Institute of Technology), Feng Jiang (Haribin Institute of Technology), Chunzhi Yi (Haribin Institute of Technology), Zhen Ding (Haribin Institute of Technology), Baichun Wei (Haribin Institute of Technology), Jie Liu (Haribin Institute of Technology (Shenzhen))
Technical Program Co-Chairs
- Jie Liu, Harbin Institute of Technology (Shenzhen), China. Web
- Rong Zheng, Professor, McMaster University, Canada. Web
- Tam Vu, Oxford University, UK. Web
Technical Program Committee (TBD)
- Dan Wang, Hongkong Polytechnic University, China.
- Weitao Xu, City University of Hongkong, China.
- Alberto Cerpa, UC Merced, USA.
- Yuan He, Tsinghua University, China.
- Wenlong Zhang, Arizona State University, USA.
- Nicholas Lane, Cambridge University, UK.
- Bodhi Priyantha, Microsoft Research,USA.
- Feng Jiang, Harbin Institute of Technology, China.
- Guoliang Xing, The Chinese University of Hong Kong, China.
- Junehwa Song, Korea Advanced Institute of Science and Technology, Korea.
- Jorge Ortiz, Rutgers University, USA.
- Wenyao Xu, University of Bufflo, USA.
- Mi Zhang, Michigan State University, USA.
- Maria Gorlatova, Duke Univesity, USA.
- Rasit Eskicioglu, University of Manitoba, Canada.
- Hao Su, City University of New York, USA.
- Siyao Cheng, Haribin Institute of Technology, China. Email: email@example.com.
Digital Support Chair
- Chunzhi Yi, Harbin Institute of Technology, China. Email: firstname.lastname@example.org.