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HASCA2014 Publications can be accessed from
"UbiComp/ISWC Adjunct Proceedings"

Welcome to HASCA2014 Web site!

HASCA2014 is a second workshop for Human Activity Sensing Corpus and its Application. The workshop is held in conjunction with UbiComp2014 at Seattle.

Workshop day is Sep 13th(Sat),the first day of the conference(Sep13-17). Workshop venue is Motif Hotel (former Red Lion Hotel) in Downtown Seattle, Washington US

Abstract

To understand human activities using various sensors such as accelerometers and gyroscopes in recent smartphones/wearable devices, a large scale human activity sensing corpus might play an important role. Also, it is a great challenge to utilize such enormous number of wearable sensors to collect large-scale activity corpus. In this workshop, we will share the experiences of current researches on human activity corpus and its applications among the researchers and the practitioners and to have a deep discussion for the future of human activity understanding.

We solicit the following topics (but not limited to).

Data collection / Corpus construction

Experiences or reports from the data collection and/or corpus construction projects. Also includes the papers which describing the formats, styles or methodologies for data collection. Cloud-sourcing data collection or 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 corpus, which is called “Data Centric Research”. Also, we solicit of the experience of using large-scale human activity sensing corpus. Using large-scale corpus with machine learning technology, there will be a large space for improving the performance of recognition results.

Tools and Algorithms for Activity Recognition

If we have appropriate and suitable tools for management of sensor data, activity recognition researchers could be more focused on their research theme. However, development of tools or algorithms for sharing among the research community is not much appreciated. In this workshop, we solicit development reports of tools and algorithms for forwarding the community.

Real World Application and Experiences

Activity recognition “in the Lab” usually works well. However, it is not true in the real world. In this workshop, we also solicit the experiences from real world applications. There is a huge gap/valley between “Lab Environment” and “Real World Environment”. Large scale human activity sensing corpus will help to overcome this gap/valley.

Sensing Devices and Systems

Data collection is not only performed by the “off the shelf” sensors. There is a requirement to develop some special devices to obtain some sort of information. There is also a research area about the development or evaluate the system or technologies for data collection.

Organizers

• 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)

Program Committee

• Alberto Calatroni, ETH Zurich
• Anja Bachmann, Karlsruhe Institute of Technology
• Elena Mugellini, University of Applied Sciences of Western Switzerland
• Elisabetta Farella, Fondazione Bruno Kessler, Italy
• Hao-Hua Chu, National Taiwan University
• Hisakazu Hada, Tokyo University of Technology
• Kaori Fujinami, Tokyo University of Agriculture and Technology
• Katsuhiko Kaji, Nagoya University
• Kazuya Murao, Kobe University
• Masaki Shuzo, Kanagawa University
• Ren Ohmura, Toyohashi University of Technology
• Tsutomu Terada, Kobe University
• Yasuyuki Sumi, Future University Hakodate
• Yoshihiro Kawahara, The University of Tokyo
• Yu Enokibori, Nagoya University

Scope and Aims

Recent advancement of technology enables installations of small sized accelerometers or gyroscopes on various kinds of wearable/portable information devices. By using such wearable sensors, these devices can estimate its posture or status. However, most of current devices only utilize these sensors for simple orientation and gesture recognition. More deep understandings and recognition of human activity through these sensors will enable the next-generation human-oriented computing. To enable the real-world application by these kinds of wearable sensors, a large scale human activity corpus might play an important role. Additionally, we have now a lot of high-performance mobile devices in real-world such as smart-phones. It is a great challenge to utilize such enormous number of wearable sensors to collect large-scale activity corpus. In recent years, there are several on-going projects which are collecting human activities. In this workshop, we are planning to share these experiences of current research on human activity corpus and its applications among the researchers and the practitioners and to have a deep discussion for future of activity sensing.

Areas of Interest

• 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

Submission Instructions

We invite two kinds of submissions:

• Full research papers up to 10 pages (changed!)
• Short technical papers up to 5 pages

Send your paper to hasca2014-submission@hasc.jp with "HASCA2014 submission" as email subject.

Templates

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

Important Dates

• May 31 st, 2014 : Submission Deadline (Extended!)
• June 13 th, 2014 : Acceptance Notification
• June 27 st, 2014 : Camera-ready due

September 13th (Sunday)

Long paper : 15min talk + 5min discussion
Short paper: 10min talk + 5min discussion (marked as [Short])