Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, and Kristof Van Laerhoven. 2017. 5th Int. workshop on human activity sensing corpus and applications (HASCA): towards open-ended context awareness. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17). ACM, New York, NY, USA, 530-536. DOI: https://doi.org/10.1145/3123024.3124410
5th int. workshop on human activity sensing corpus and applications (HASCA) : towards open-ended context awareness
|Author:||Kawaguchi, Nobuo1; Nishio, Nobuhiko2; Roggen, Daniel3;|
1Nagoya University, Japan
2Ritsumeikan University, Japan
3University of Sussex, UK
4Kyushu Inst. of Technology, Japan
5University of Oulu, Finland
6University of Siegen, Germany
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019042613354
Association for Computing Machinery,
|Publish Date:|| 2019-04-26
Technological advances enable the inclusion of miniature sensors (e.g., accelerometers, gyroscopes) on a variety of wearable/portable information devices. Most current devices utilize these sensors for simple orientation and gesture recognition only. However, in the future the recognition of more complex and subtle human behaviors from these sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require large-scale human activity corpuses and much improved methods to recognize activities and the context in which they occur. This workshop deals with the challenges of designing reproducible experimental setups, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating systems in the real world. As a special topic this year, we wish to reflect on the challenges and possible approaches to recognize situations, events or activities outside of a statically pre-defined pool, which is the current state of the art, and instead adopt an open-ended view on activity and context awareness. Following the huge success of previous years, we are further planning to share these experiences of current research on human activity corpus and their applications among the researchers and the practitioners and to have a deep discussion on the future of activity sensing, in particular towards open-ended contextual intelligence.
|Pages:||530 - 536|
Proceeding UbiComp '17 Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
ACM International Joint Conference on Pervasive and Ubiquitous Computing
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
212 Civil and construction engineering
113 Computer and information sciences
UK EPSRC First Grant EP/N007816/1 “Lifelearn: Unbounded activity and context awareness”, JSPS KAKENHI Grant Number JP 17H01762.
© 2017 Copyright is held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceeding UbiComp '17 Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, http://dx.doi.org/10.1145/3123024.3124410.