Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chung-Yeon Lee"'
Autor:
Seongah Chin, Chung-Yeon Lee
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
In this paper, we present technical approaches that bridge the gap in the research related to the use of brain-computer interfaces for entertainment and facial expressions. Such facial expressions that reflect an individual's personal traits can be u
Externí odkaz:
https://doaj.org/article/fdacc6fa63fd4689a68e6fb7aca29eaf
Autor:
Chung-Yeon Lee
Publikováno v:
i-Perception, Vol 3 (2012)
The human brain naturally recognizes a change of environment or atmosphere without great effort, and this is essential for interactive communication in social life and a specific reaction in an emergency situation. Most studies have investigated chan
Externí odkaz:
https://doaj.org/article/3fddb463f3e944da9cd61d60b9f819e8
Autor:
Taewoong Kang, Dongwoon Song, Jae-Bong Yi, Joonyoung Kim, Chung-Yeon Lee, Youngjae Yoo, Minji Kim, Hyun-Jun Jo, Byoung-Tak Zhang, Jaebok Song, Seung-Joon Yi
Publikováno v:
Advanced Robotics. 36:836-849
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Spatial representation capable of learning a myriad of environmental features is a significant challenge for natural spatial understanding of mobile AI agents. Deep generative models have the potential of discovering rich representations of observed
Publikováno v:
THE TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS P. 69:229-234
Autor:
DongWoon Song, Taewoong Kang, Jaebong Yi, Joonyoung Kim, Taeyang Kim, Chung-Yeon Lee, Je-Hwan Ryu, Minji Kim, HyunJun Jo, Byoung-Tak Zhang, Jae-bok Song, Seung-Joon Yi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030986810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b113cd57dd9eb00276bea6fc9edaac3a
https://doi.org/10.1007/978-3-030-98682-7_24
https://doi.org/10.1007/978-3-030-98682-7_24
Publikováno v:
Journal of KIISE. 43:781-785
Learning from human behaviors in the real world is essential for human-aware intelligent systems such as smart assistants and autonomous robots. Most of research focuses on correlations between sensory patterns and a label for each activity. However,
Autor:
Beom-Jin Lee, Jinyoung Choi, Chung-Yeon Lee, Kyung-Wha Park, Sungjun Choi, Cheolho Han, Dong-Sig Han, Christina Baek, Patrick Emaase, Byoung-Tak Zhang
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
We introduce a novel perception-action-learning system for mobile social-service robots. The state-of-the-art deep learning techniques were incorporated into each module which significantly improves the performance in solving social service tasks. Th
Publikováno v:
KIISE Transactions on Computing Practices. 21:64-69
Place awareness is an essential for location-based services that are widely provided to smartphone users. However, traditional GPS-based methods are only valid outdoors where the GPS signal is strong and also require symbolic place information of the
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 92
Wearable devices, such as smart glasses and watches, allow for continuous recording of everyday life in a real world over an extended period of time or lifelong. This possibility helps better understand the cognitive behavior of humans in real life a