US 12,456,313 B2
Electronic device, information processing apparatus, and method for detecting gaze lines
Takayuki Shinozaki, Tokyo (JP)
Assigned to KYOCERA Corporation, Kyoto (JP)
Appl. No. 18/004,175
Filed by KYOCERA Corporation, Kyoto (JP)
PCT Filed Jul. 1, 2021, PCT No. PCT/JP2021/025041
§ 371(c)(1), (2) Date Jan. 3, 2023,
PCT Pub. No. WO2022/014353, PCT Pub. Date Jan. 20, 2022.
Claims priority of application No. 2020-123233 (JP), filed on Jul. 17, 2020.
Prior Publication US 2023/0267752 A1, Aug. 24, 2023
Int. Cl. G06V 20/59 (2022.01); G06V 10/70 (2022.01)
CPC G06V 20/597 (2022.01) [G06V 10/70 (2022.01)] 6 Claims
OG exemplary drawing
 
1. An electronic device comprising:
an imaging unit configured to create at least one image corresponding to a view in a moving direction of a vehicle of the electronic device by image capturing;
a gaze-line detector configured to detect a gaze line of a subject, the gaze line being directed to the view towards at least one object in a surrounding environment of the vehicle of the electronic device; and
a controller configured to estimate an alertness level of the subject based on the at least one image and the gaze line,
wherein the controller is configured to serve as
a first inference unit capable of inferring a gaze-line prediction map that is based on the at least one image and that represents a probability of finding the gaze line at each position in the at least one image, the first inference unit being constructed based on learning data obtained by machine learning regarding a relationship between a training image and a gaze line of a subject for training, the gaze line being directed to the training image, and
a second inference unit capable of inferring biological information regarding the alertness level of the subject based on the gaze-line prediction map and the gaze line of the subject, the second inference unit being constructed based on learning data obtained by machine learning regarding a relationship among a gaze-line prediction map for training inferred by the first inference unit based on the training image, the gaze line of the subject for training, the gaze line being directed to the training image, and biological information regarding an alertness level of the subject for training.