TY - GEN
T1 - Dynamic characteristics between the subjective score of motion sickness discomfort and video global motion
AU - Tanaka, Akira
AU - Sugita, Norihiro
AU - Yoshizawa, Makoto
AU - Abe, Makoto
AU - Yambe, Tomoyuki
PY - 2010/12/1
Y1 - 2010/12/1
N2 - It is well-known that visually-induced motion sickness (VIMS) is caused by image motion. Therefore it is important to clarify the relationship between image motion and the change in discomfort level. However, it is difficult to know the quick change in the level of discomfort during watching actual video image. The authors have proposed a method of interpolation for the subjective score, which has low time and quantitative resolutions, by using physiological parameters. The model which represents the change in subjective score of VIMS was expressed as multiple regression equations in which input parameters are cardiovascular indices such as heart rate variability. In this study, the model which represents the relation between global motion vectors of a video image and estimated subjective score was identified as ARX model. The results indicated that the simple ARX model can estimate the change in subjective score from global motion vectors.
AB - It is well-known that visually-induced motion sickness (VIMS) is caused by image motion. Therefore it is important to clarify the relationship between image motion and the change in discomfort level. However, it is difficult to know the quick change in the level of discomfort during watching actual video image. The authors have proposed a method of interpolation for the subjective score, which has low time and quantitative resolutions, by using physiological parameters. The model which represents the change in subjective score of VIMS was expressed as multiple regression equations in which input parameters are cardiovascular indices such as heart rate variability. In this study, the model which represents the relation between global motion vectors of a video image and estimated subjective score was identified as ARX model. The results indicated that the simple ARX model can estimate the change in subjective score from global motion vectors.
UR - http://www.scopus.com/inward/record.url?scp=78650841478&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650841478&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2010.5626739
DO - 10.1109/IEMBS.2010.5626739
M3 - Conference contribution
C2 - 21096333
AN - SCOPUS:78650841478
SN - 9781424441235
T3 - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
SP - 1368
EP - 1369
BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
T2 - 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Y2 - 31 August 2010 through 4 September 2010
ER -