Paper Info
Title
7th international workshop on human activity sensing corpus and applications (HASCA)
Abstract
The recognition of complex and subtle human behaviors from wearable 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. We wish to reflect on future methods, such as lifelong learning approaches that allow open-ended activity recognition. This year HASCA will welcome papers from participants to the Second Sussex-Huawei Locomotion and Transportation Recognition Competition and Open Lab Nursing Activity Recognition Challenge in special sessions.
Year
DOI
Venue
2019
10.1145/3341162.3347765
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
Keywords
Field
DocType
SHL activity recognition challenge, activity recognition, large scale human activity sensing corpus, mobile sensors, open lab nursing activity recognition challenge, open-ended activity/context recognition, participatory sensing, smartphones, wearable computing
Computer science,Human–computer interaction,Embedded system
Conference
ISBN
Citations 
PageRank 
978-4503-6869-8
0
0.34
References 
Authors
0
9
Name
Order
Citations
PageRank
Kazuya Murao113131.38
Yu Enokibori2219.04
Hristijan Gjoreski326829.81
Paula Lago422.41
Tsuyoshi Okita55313.37
Pekka Siirtola614519.37
Kei Hiroi71912.00
Philipp Scholl85418.12
Mathias Ciliberto9336.12