Paper Info
Title
6th 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. Unique this year, HASCA will welcome papers from participants to the Sussex-Huawei Locomotion and Transportation Recognition Competition in a special session.
Year
DOI
Venue
2018
10.1145/3267305.3274145
UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing Singapore Singapore October, 2018
Keywords
Field
DocType
Large Scale Human Activity Sensing Corpus, Activity Recognition, Wearable Computing, Open-Ended Activity/Context Recognition, Smartphones, SHL Activity Recognition competition, Mobile Sensors, Participatory Sensing
Activity recognition,Computer science,Wearable computer,Human–computer interaction,Human behavior,Lifelong learning,Participatory sensing
Conference
ISBN
Citations 
PageRank 
978-1-4503-5966-5
0
0.34
References 
Authors
4
8
Name
Order
Citations
PageRank
Kazuya Murao113131.38
Yu Enokibori2219.04
Hristijan Gjoreski326829.81
Paula Lago434.76
Tsuyoshi Okita55313.37
Pekka Siirtola614519.37
Kei Hiroi71912.00
Philipp Scholl85418.12