DocumentCode :
615154
Title :
Temporal coordination of head motion in couples with history of interpersonal violence
Author :
Hammal, Zakia ; Bailie, Teresa E. ; Cohn, J.F. ; George, David Ted ; Saraghi, Jason ; Chiquero, Jesus Nuevo ; Lucey, Simon
Author_Institution :
Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2013
fDate :
22-26 April 2013
Firstpage :
1
Lastpage :
8
Abstract :
Previous research in automated expression analysis has focused on discrete actions with little attention to their timing either within or between persons. We investigated the interpersonal coordination of rigid head motion in 11 intimate couples with a history of interpersonal violence. The couples participated in both a low-conflict task in which they were asked to discuss a neutral topic as well as a high-conflict task in which they were asked to discuss an issue that was cause for conflict. Actor-partner analysis, which explicitly models that each partner is both a cause and an effect of the other´s behavior, was used to investigate differences between conditions in angular head velocities. Windowed crosscorrelation was used to model interpersonal dynamics. Angular head velocities were slower for men than for their partners. Head velocities were strongly correlated between partners, with frequent shifts in lead-lag relationships between them.
Keywords :
behavioural sciences computing; gesture recognition; image motion analysis; object tracking; social sciences computing; actor-partner analysis; angular head velocity; automated expression analysis; discrete action; high-conflict task; interpersonal coordination; interpersonal dynamics modeling; interpersonal violence; intimate couple; lead-lag relationship; low-conflict task; neutral topic; rigid head motion; temporal coordination; windowed cross-correlation; Angular velocity; Atmospheric measurements; Correlation; Dynamics; Head; History; Tracking; Interpersonal coordination; actor-partner analysis; head motion velocity; windowed cross-correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5545-2
Electronic_ISBN :
978-1-4673-5544-5
Type :
conf
DOI :
10.1109/FG.2013.6553793
Filename :
6553793
Link To Document :
بازگشت