The 4th Workshop on Physical Analytics (WPA '17), collocated with MobiSys 2017, is a forum related to technologies, experiments and practical applications that center on the capture and understanding of the physical behavior of individuals, groups, and crowds in the physical world. Activities that people perform in the physical world— e.g., travelling to places (commuting to/from work using public or private transport), dwelling and engaging in various activities at various locations (e.g., exercising in the gym, eating at restaurants and food courts), interacting with various physical objects and artefacts (e.g., touching or picking up products at a retail store, or browsing through books and magazines at a library), being subject to various audiovisual stimuli (e.g., listening to announcements at transit hubs, watching advertisements on public displays or movies on TV) and interacting with other people (in groups, as part of crowds or one-on-one)—contain a wealth of information about user behavior, preferences, attitudes and interests. Such information is increasingly being proposed for novel services and applications across diverse industries, such as healthcare, telematics and retail. This workshop focuses on exploring how various technologies and capabilities, such as multimedia sensing, localization, wearable computing, activity recognition and privacy, can be harnessed holistically to build workable or plausible solutions that can capture real-world physical behavior of users.

08:45 - 09:00: Workshop Opening and Welcome

09:00 - 10:00: Keynote: Analyzing the World with Continuous Mobile Vision, Matthai Philipose (Microsoft Research)

10:00 - 10:30: Coffee Break

10:30 - 12:00: Session 1: Analytics for mental and physical health

  • Towards Unobtrusive Mental Well-Being Monitoring for Independent-Living Elderly. Sinh Huynh, Hwee-Pink Tan, Youngki Lee (Singapore Management University)
  • Experiences in Building a Real-World Eating Recogniser. Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, Rajesh Krishna Balan, Youngki Lee (Singapore Management University)
  • Invited Talk: Non-invasive Sleep Quality Monitoring with LIBS, an In-ear Sensing Systems. Tam Vu (University of Colorado - Boulder)

12:00 - 13:00: Lunch Break

13:00 - 15:00 Session 2: Analytics for detection of persons and objects

  • Peripheral WiFi Vision: Exploiting Multipath Reflections for More Sensitive Human Sensing. Elahe Soltanaghaei, Avinash Kalyanaraman, Kamin Whitehouse (Virginia)
  • Konark: A RFID based system for enhancing in-store shopping experience. Swadhin Pradhan (UT Austin), Eugene Chai, Karthikeyan Sundaresan, Sampath Rangarajan (NEC Labs), Lili Qiu (UT Austin). [slides]
  • CamMirror: Single-Camera-based Distance Estimation for Physical Analytics Applications. Vivek Yenamandra (Ohio State University), Akshay Uttama Nambi, Venkat Padmanabhan, Vishnu Navda (Microsoft Research), Kannan Srinivasan (Ohio State University)
  • Invited Talk: CommBetter: Enabling Parent-driven Speech Therapy for Children with Communication Developmental Delays. Youngki Lee (Singapore Management University)

15:00 - 15:30: Coffee Break

15:30 - 17:00: Session 3: Analytics through crowds

  • Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing?. Utku Gunay Acer, Marc Van den Broeck, Marc Godon, Claudio Forlivesi, Fahim Kawsar (Nokia Bell Labs)
  • ENACT: Encounter-based Architecture for Contact Tracing. Aarathi Pradsad (Amherst College), David Kotz (Dartmouth College)
  • Invited Talk: Empowering Physical Analytics with Ubiquitous Lights, Xia Zhou (Dartmouth College)

17:00: Closing