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Taeyeun Yang

dblp:188/9422 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 39% Ubiquitous computing and smart environments · 30% Wearable and physiological sensing · 30%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments
context-aware computing
0.212016
Emotion Analysis from Context Understanding: Poster Abstract · SenSys 2016
Human-AI interaction › affective computing
emotion analysis
0.212016
Emotion Analysis from Context Understanding: Poster Abstract · SenSys 2016
Wearable and physiological sensing
emotion recognition
0.212016
Emotion Analysis from Context Understanding: Poster Abstract · SenSys 2016

Methods — techniques the papers use, named apart from their topics

scenario-based approach · 0.2context information fusion · 0.2
YearPublicationVenuePosition
2016 Emotion Analysis from Context Understanding: Poster Abstract
abstract
In this poster, we propose an emotion analysis method using context information gathered from sensor data. We observe that there are certain situations in which a specific emotion is strongly felt, i.e. dominant. We develop a "scenario-based" approach that focuses on creating such situations with dominant emotion, using a set of context information from sensor data. These "scenarios" undergo validation process through a preliminary survey. Finally, an application prototype detects these scenarios to return the analyzed emotion to the user.
Sangwon Choi, Heesik Jeon, Taeyeun Yang, Junehwa Song
SenSys3