Data Acquisition To Analysis

Soliciting datasets and tools from past and current sensor deployments and data gathering efforts

Submit HERE

Call for Papers

The workshop seeks contributions describing original datasets in all topics related to the sensor networks, IoT and CPS. Topics of interests include, but are not limited to, the following:

  • Shopping related sensing data
  • Animal related data or sensed data
  • Anonymized Health, or synthetic health related data
  • Indoor localization, wifi, uwb, lidar
  • Smart building, vibration, BIM, occupancy, motion
  • Vehicular, GPS, cell, wifi
  • Tools for generating synthetic data

  • To enable the longevity of the data, we plan on providing a central location where a repository for the data, and information about the data can be archived for at least 5 years.

    Important Dates

  • Submission deadline: extended to Aug 24, 2018, submit HERE
  • Notification of acceptance: Sep 1, 2018
  • Deadline for camera ready version: Sep 14, 2018
  • Workshop: Nov 4, 2018

  • Submission Guidelines

    We invite to submit abstracts in PDF format with ACM templates (submit notes), of at most 2 pages in length including figures, tables, and references, in two-column format, and using a minimum of 10-pt font. Issues on licenses will be resolved by generally following the procedure similar to CRAWDAD ( and special treatments, if needed, will be discussed separately with the TPC chairs. If IRB approval has been obtained for the data collection procedure, please include such information in the submission.

    The dataset submission instruction can be found HERE.

    The camera-ready paper must be submitted by the 14th of September 2018 (GMT). You should use the acmart.cls. Please note that ACM uses 9-pt fonts in all conference proceedings, and the style (both LaTeX and Word) implicitly define the font size to be 9-pt. The maximum number of pages is 2, including the references. Please refer to publication chair's Note (link pdf) as well as the User Guide of the new class. Accepted submissions will be available on the ACM digital library on the first day of the conference.


    Registration Open (8:00-9:00)

    Datasets can be found HERE

    Welcome and Keynote (9:00-10:00)

    Rui Tan, Nanyang Technological University

    Session 1: Vehicle Sensing and Trajectory (10:00-10:40)

    Chair: Pat Pannuto, UC Berkeley

    One-Month Beijing Taxi GPS Trajectory Dataset with Taxi IDs and Vehicle Status. Jing Lian, Lin Zhang (Tsinghua-Berkeley Shenzhen Institute, Tsinghua University), Dataset Link

    Seat Vibration for Heart Monitoring in a Moving Automobile. Amelie Bonde, Mostafa Mirshekari, Jonathon Fagert, Shijia Pan, Hae Young Noh, Pei Zhang (Carnegie Mellon University), Dataset Link

    Vehicle Sensing Data Acquisition and Analysis. Linna Wu (Beihang University), Lizhuo Zhang (Broadsense (Shenzhen) Information Technology Co.Ltd), Huan Li, Hengtian Ding (Beihang University), Dataset Link

    Coffee Break (10:40-11:00)

    Session 2: Occupancy Detection (11:00-12:00)

    Chair: Rasit Eskicioglu, University of Manitoba

    Occupant-Induced Office Floor Vibration Dataset for Activity Level Monitoring. Yue Zhang (Tsinghua University), Shijia Pan, Jonathon Fagert, Mostafa Mirshekari, Hae Young Noh, Pei Zhang (Carnegie Mellon University), Lin Zhang (Tsinghua University), Dataset Link

    Room-level Occupant Counts, Airflow and CO2 Data from an Office Building. Krzysztof Arendt, Aslak Johansen, Bo Nørregaard Jørgensen, Mikkel Baun Kjærgaard, Claudio Giovanni Mattera, Fisayo Caleb Sangogboye , Jens Hjort Schwee, Christian T. Veje (University of Southern Denmark), Dataset Link

    Set and Forget Sensing with Applets on IFTTT. Noah Klugman, Prabal Dutta (University of California, Berkeley), Dataset Link

    Bluetooth Low Energy in the Wild Dataset. Thomas Zachariah, Meghan Clark, Prabal Dutta (University of California, Berkeley), Dataset Link

    Lunch Break (12:00-13:30)

    Session 3: Indoor Localization (13:30-14:10)

    Chair: Hae Young Noh, Carnegie Mellon University

    Indoor Ultra Wideband Ranging Samples from the DecaWave DW1000 Including Frequency and Polarization Diversity. Pat Pannuto (University of California, Berkeley), Benjamin Kempke (University of Michigan), Bradford Campbell (University of Virginia), Prabal Dutta (University of California, Berkeley), Dataset Link

    ILOS: A Data Collection Tool and Open Datasets for Fingerprint-based Indoor Localization. Mitchell Cooke, Yongyong Wei, Yujiao Hao, Rong Zheng (McMaster University), Dataset Link

    Dataset: Single-Anchor Indoor Localization with Decawave DW1000 and Directional Antennas. Bernhard Großwindhager, Michael Rath, Josef Kulmer, Mustafa Bakr, Carlo Alberto Boano, Klaus Witrisal, Kay Römer (Graz University of Technology), Dataset Link

    Coffee Break (14:10-14:30)

    Session 4: Future of Sensing (14:30-15:30)

    Chair: Chris Xiaoxuan Lu, University of Oxford

    PiMi: Two-Month Indoor/Outdoor PM2.5 Concentrations along with Behavior Labels through Large-Scale Participatory Sensing. Rui Ma, Lin Zhang (Tsinghua University), Dataset Link

    A Testbed and Data Yields for Studying Data Center Energy Efficiency and Reliability. Duc Van Le, Yingbo Liu, Rongrong Wang, Rui Tan (Nanyang Technological University, Singapore), Lek Heng Ngoh (Info-communications Media Development Authority, Singapore), Dataset Link

    The Big House Dataset: Desired Applications and Interactions. Meghan Clark (University of California, Berkeley), Mark W. Newman (University of Michigan), Prabal Dutta (University of California, Berkeley), Dataset Link

    Structural Vibration Sensing to Evaluate Animal Activity on a Pig Farm. Amelie Bonde, Shijia Pan (Carnegie Mellon University), Orathai Sangpetch, Akkarit Sangpetch (King Monkut's Institute of Technology Ladkrabang), Woranun Woramontri (Betagro Group), Hae Young Noh, Pei Zhang (Carnegie Mellon University), Dataset Link

    Ending: Open Discussion on Where Are We Heading to (15:30-16:00)