Welcome to HASCA2015 Web site!
HASCA2015 is a third workshop for Human Activity Sensing Corpus and its Application. The workshop is held in conjunction with UbiComp2015 at Osaka.
Workshop day is Sep 8th(The),the second day of the conference(Sep7-11). Workshop venue is Grand Front OSAKA, Japan.
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.