AGENDAPreliminary agenda, subject to change
Speaker: Pat Pannuto
Session 1: Who’s There? – Finding People and Their State of Being
Occupancy Sensing and Activity Recognition with Camera and Wireless Sensors
Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor
Fabricio Flores (Carnegie Mellon University); Sirajum Munir (Bosch Research & Technology Center); Matias Quintana (National University of Singapore); Anand Krishnan Prakash (Lawrence Berkeley National Laboratory); Mario Berges (Carnegie Mellon University)
Dataset: User side acquisition of People-Centric Sensing in the Internet-of-Things
Dataset: Inferring Thermal Comfort using Body Shape Information Utilizing Depth Sensors
Sirajum Munir (Bosch Research and Technology Center); Jonathan Francis (Carnegie Mellon University, Bosch Research Pittsburgh); Matias Quintana (National University of Singapore); Nadine von Frankenberg (Technical University of Munich); Mario Berges (Carnegie Mellon University)
Session 1 Breakout & Discussion
Session 2: The Great Outdoors – Sensing at Farm and City-Scale
Designing a Vehicle Mounted High Resolution Multi-Spectral 3D Scanner - Concept Design
Gregory Meyers, Chengxi Zhu, Martin Mayfield, Danielle Densley Tingley, Jon Willmott, Daniel Coca (University of Sheffield)
Dataset: Horse Movement Data and Analysis of its Potential for Activity Recognition
Dataset: LoRa Underground Farm Sensor Network
Session 2 Breakout & Discussion
Session 3: Details Matter – Looking Deeply at Sensed Data
A Signal Quality Assessment Metrics for Vibration-based Human Sensing Data Acquisition
Yue Zhang, Lin Zhang (Tsinghua University); Hae Young Noh, Pei Zhang (Carnegie Mellon University); Shijia Pan (University of California Merced)
Dataset: Indoor Localization with Narrow-band, Ultra-Wideband, and Motion Capture Systems
Synchronization between Sensors and Cameras in Movement Data Labeling Frameworks
Jacob W. Kamminga (University of Twente); Michael Jones, Kevin Seppi (Brigham Young U.); Nirvana Meratnia, Paul J.M. Havinga (University of Twente)
Session 3 Breakout & Discussion
Session 4a (BuildSys Track): The Built Environment – Instrumented Buildings and Their Data
Dataset: An Open Dataset and Collection Tool for BMS Point Labels
Dataset: Occupancy Presence and Trajectory Dataset from an Instrumented Public Building
Dataset: Tracing Indoor Solar Harvesting
Session 4a Breakout & Discussion
BuildSys DATA Breakout & Discussion
Session 4b (SenSys Track): The Wireless Channel – More than Meets the Eye
Channel State Information (CSI) analysis for Predictive Maintenance using Convolutional Neural Network (CNN)
Dataset: Wireless Link Quality Estimation on FlockLab – and Beyond
Dataset: Channel state information for different activities, participants and days
Session 4b Breakout & Discussion
SenSys DATA Breakout & Discussion
ABOUT THE WORKSHOP
As the enthusiasm for and success of the Internet of Things (IoT), Cyber-Physical Systems (CPS), and Smart Buildings grows, so too does the volume and variety of data collected by these systems. How do we ensure that this data is of high quality, and how do we maximize the utility of collected data such that many projects can benefit from the time, cost, and effort of deployments?
The Data: Acquisition To Analysis (DATA) workshop aims to look broadly at interesting data from interesting sensing systems. The workshop considers problems, solutions, and results from all across the real-world data pipeline. We solicit submissions on unexpected challenges and solutions in the collection of datasets, on new and novel datasets of interest to the community, and on experiences and results—explicitly including negative results—in using prior datasets to develop new insights.
The workshop aims to bring together a community of application researchers and algorithm researchers in the sensing systems and building domains to promote breakthroughs from integration of the generators and users of datasets. The workshop will foster cross-domain understanding by enabling both the understanding of application needs and data collection limitations.
CALL FOR PAPERS
The workshop seeks contributions across two major thrusts, but is open to a broad view of interesting questions around the collection, dissemination, and use of data as well as interesting datasets:
The collection and use of data
- - Challenges and solutions in data collection, especially around security and privacy
- - Expectations and norms for data collection from sensor networks, especially those that involve human factors
- - Novel insights from existing datasets
- - Metadata management for complex datasets
- - Synthetic data, including its generation, application, and utility
- - Success stories—key properties of useful datasets and how to generalize these
- - Shortcomings of prior datasets—and how to address these in the future
- - Position papers on policies and norms from experimental design through data management and use are explicitly welcomed
New and interesting datasets, including but not limited to:
- - Shopping related sensing data
- - Animal related data or sensed data
- - Anonymized health, or synthetic health related data
- - Indoor localization, especially unprocessed/unfiltered physical layer measurements
- - Smart building, occupancy, motion data, energy, human comfort, vibration, BIM
- - Vehicular, GPS, cellular, or wifi traces
- - Reproductions of prior work that validate, refute, or enhance results
To enable the longevity of submitted datasets, 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.
Submissions may range from 1-5 pages in PDF format, excluding references, using the standard ACM conference template. Submissions are strongly encouraged to use only as much space as needed to clearly convey the significance of the work—we fully expect many submissions, especially datasets, to use only 1-2 pages, but wish to allow those interested in fully elucidating positions on data collection and use or insights from reproducibility efforts ample space to do so. Submissions should use only as much space as necessary to clearly convey their ideas and contributions. Please do not anonymize your submission. Upon acceptance, instructions for the final camera-ready abstract will be provided.
Dataset submissions should prefix paper titles with “Dataset: “ and must include a description of the dataset as well a reasonable accompanying data sample. Once accepted, a full described dataset must be shared to a public repository by the camera ready deadline. Issues on licenses will be resolved by generally following the procedure similar to CRAWDAD (https://crawdad.org/joinup.html) and special treatments, if needed, will be discussed separately with the TPC chairs.
Each accepted submission is required to have at least one author attend the workshop and present to the workshop attendees.
August 2nd, 2019, AOE August 12th, 2019, AOE., submit HERE
August 12th, 2019, AOE August 24th, 2019, AOE.
September 13th, 2019, AOE September 20th, AOE.