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Tsuyoshi Okita <[log in to unmask]>
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Tsuyoshi Okita <[log in to unmask]>
Thu, 14 Jun 2018 14:20:42 +0900
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Dear collegues,
You are cordially invited to submit your work to HASCA workshop!
Sorry for the multiple postings.

-------------------------------------CFP starts------------------------

*6th Int Workshop on Human Activity Sensing Corpus and Applications (HASCA)*
in conjunction with* ACM Ubicomp/ISWC 2018*
Singapore, Singapore

* Submission Deadline: July 20, 2018 *
* Workshop Date: October 12, 2018 *


The objective of this workshop is to share the experiences among
researchers about current challenges of real-world activity
recognition with newly developed datasets and tools, breaking through
towards open-ended contextual intelligence.

This workshop discusses the challenges of designing reproducible
experimental setups, the large-scale dataset collection campaigns, the
activity and context recognition methods that are robust and adaptive,
and evaluation systems in the real world.

As a special topic of this year we will reflect on the challenges to
recognize situations, events and/or activities among the statically
predefined pools and beyond - which is the current state of the art -
and instead we will adopt an "open-ended view" on activity and context
awareness. This may result in combinations of the automatic discovery
of relevant patterns in sensor data, the experience sampling and
wearable technologies to unobtrusively discover the semantic meaning
of such patterns, the crowd-sourcing of dataset acquisition and
annotation, and new "open-ended" human activity modeling techniques.


We expect the following domains to be relevant contributions to this
workshop (but not limited to):

- **Data collection*, *Corpus construction*. *
Experiences or reports from data collection and/or corpus construction
projects, including papers which describes the formats, styles and/or
methodologies for data collection. Cloud-sourcing data collection and
participatory sensing also could be included in this topic.

- **Effectiveness of Data*, *Data Centric Research*. *
There is a field of research based on the collected corpora, which is
so called "data centric research". Also, we call for the experience of
using large-scale human activity sensing corpora. Using large-scale
corpora with an analysis by machine learning, there will be a large
space for improving the performance of recognition results.

- **Tools and Algorithms for Activity Recognition*.*
If we have appropriate tools for the management of sensor data,
activity recognition researchers could have more focused on their
actual research theme. This is because the developed tools and
algorithms are often not shared among the research community. In this
workshop, we solicit reports on developed tools and algorithms for
forwarding to the community.

- **Real World Application and Experiences*. *
Activity recognition "in the lab" usually works well. However, it does
not scale well with real world data. In this workshop, we also solicit
the experiences from real world applications. There is a huge gap
between "lab" and "real world” environments . Large-scale human
activity sensing corpora will help to overcome this gap.

- **Sensing Devices and Systems* *
Data collection is not only performed by the "off-the-shelf" sensors
but also the newly developed sensors which supply information which
has not been investigated. There is also a research area about the
development of new platform for data collection or the evaluation
tools for collected data.

In light of this year's special emphasis on open-ended contextual
awareness, we wish cover these topics as well:

- **Mobile Experience Sampling*, *Experience Sampling Strategies*.*
Advances in experience sampling approaches, for instance intelligent
user query or those using novel devices (e.g. smartwatches), are
likely to play an important role to provide user-contributed
annotations of their own activities.

- **Unsupervised Pattern Discovery*. *
Discovering meaningful patterns in sensor data in an unsupervised
manner can be needed in the context of informing other elements of the
system by inquiring the user and by triggering the annotation with

- **Dataset Acquisition and Annotation*, *Crowd-Sourcing*, *Web-Mining*.*
A wide abundance of sensor data is potentially within the reach of
users instrumented with their mobile phones and other
wearables. Capitalizing on crowd-sourcing to create larger datasets in
a cost effective manner may be critical to open-ended activity
recognition. Many online datasets are also available and could be used
to bootstrap recognition models.

- **Transfer Learning*, *Semi-Supervised Learning*, *Lifelog Learning*. *
The ability to translate recognition models across modalities or to
use minimal forms of supervision would allow to reuse datasets in a
wider range of domains and reduce the costs of acquiring annotations.


   - Human Activity Sensing Corpus
   - Large Scale Data Collection
   - Data Validation
   - Data Tagging / Labeling
   - Efficient Data Collection
   - Data Mining from Corpus
   - Automatic Segmentation
   - Performance Evaluation
   - Man-machine Interaction
   - Noise Robustness
   - Non Supervised Machine Learning
   - Sensor Data Fusion
   - Tools for Human Activity Corpus/Sensing
   - Participatory Sensing
   - Feature Extraction and Selection
   - Context Awareness
   - Pedestrian Navigation
   - Social Activities Analysis/Detection
   - Compressive Sensing
   - Sensing Devices
   - Lifelog Systems
   - Route Recognition/Detection
   - Wearable Application
   - Gait Analysis
   - Health-care Monitoring/Recommendation
   - Daily-life Worker Support


The Sussex-Huawei Locomotion Dataset will be used in an activity

challenge with results to be presented at HASCA 2018. To be part of the

ranking, participants will be required to submit a detailed paper to the

workshop. The paper should contain technical description of the processing

the algorithms and the results achieved during the development/training

The paper submission date will be set during the competition. The

must follow the HASCA format (up to 10 pages).


We invite three kinds of submissions:

   - Full research papers up to 10 pages
   - Short technical papers up to 5 pages
   - SHL challenge papers up to 10 pages

All publications will be peer reviewed together with their
contribution to the topic of the workshop. Submission is electronic,
using precision submission system. The submission site is open at (select SIGCHI/UbiComp
2018/UbiComp 2018 Workshop - HASCA and push Go button).

All the papers must be formatted as “ACM SIGCHI Extended Abstracts
format” (landscape).  Submissions do not need to be anonymous.

The accepted papers will be published in the UbiComp 2018 adjunct
which will be included in the ACM Digital Library.

Full research/short technical papers:

   - Submission deadline : July 20, 2018
   - Notification of acceptance: Aug 10, 2018
   - Camera ready deadline : Aug 18, 2018
   - Workshop date: October 12, 2018

SHL challenge papers (only the challenge participants):

   - Submission deadline : July 31, 2018

(Check how to register at
ivity-recognition-challenge/ no later than June 20, 2018)



Kazuya MURAO (Ritsumeikan University, Japnan)

Yu ENOKIBORI (Nagoya University, Japan)

Hristijan GJORESKI (Ss. Cyril and Methodius University, Macedonia)

Paula LAGO (Kyushu Institute Technology, Japan)

Tsuyoshi OKITA (Kyushu Institute Technology, Japan)

Pekka SIIRTOLA (University of Oulu, Finland)

Kei HIROI (Nagoya University, Japan)
Philipp M. SCHOLL (University of Freiburg, Germany)


Nobuo Kawaguchi (Nagoya University, Japan)

Nobuhiko Nishio (Ritsumeikan University, Japan)

Daniel Roggen (University of Sussex, UK)

Sozo Inoue (Kyushu Institute of Technology, Japan)

Susanna Pirttikangas (University of Oulu, Finland)

Kristof van Laerhoven (University of Freiburg, Germany)

*If you have any questions please contact *[log in to unmask]

-------------------------------------CFP ends--------------------------

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