116 search results - page 4 / 24 » Tracking the activity of participants in a meeting |
ICASSP
2009
IEEE
2009
IEEE
Contrasting emotion-bearing laughter types in multiparticipant vocal activity detection for meetings
14 years 2 months ago
The detection of laughter in conversational interaction presents an important challenge in meeting understanding, important primarily because laughter is predictive of the emotion...
CLEAR
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. The paper presents an evaluation of both head pose and visual focus of attention (VFOA) estimation algorithms in a meeting room environment. Head orientation is estimated...
FGR
2008
IEEE
14 years 2 months ago
2008
IEEE
Unobtrusive and multiple-sensor interfaces enable observation of natural human behavior in smart environments. Being able to detect, analyze and interpret this activity allows for...
MLMI
2007
Springer
14 years 2 months ago
2007
Springer
Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
MM
1999
ACM
14 years 5 days ago
1999
ACM
—A user’s focus of attention plays an important role in human–computer interaction applications, such as a ubiquitous computing environment and intelligent space, where the u...