How to Create an Optimal Video for Facial Expression Analysis The following tips will help ensure that videos you upload are optimal for analysis by Emotient Analytics. Cameras Our technology does not require that you use professional cameras. Emotient Analytics analyzes videos that are generated from a variety of sources, as long as they follow the guidelines listed below. Number of Faces There is no limit to the number of faces in the video frame as long as each face measures 48 pixels in horizontal and vertical dimensions. Facial Orientation Faces should be within +/- 30 degrees of full frontal to the camera in 3 dimensions: yaw (turned left-right), pitch (up-down), and roll (tilted-left-right). Video Formats We support .avi, .m4v, .mkv, .mov, .mp4, .mpg, and .wmv file formats. Video Length The video should be a minimum of 10 seconds and a maximum of 60 minutes. Lighting We recommend that you have even lighting, avoid backlighting and avoid harsh shadows. April 2015 EA-VID-001 Copyright 2015 Emotient Inc. How to Create an Optimal Video for Facial Expression Analysis Occlusions Make sure that each person's face is clearly visible. Items that may block the face and inhibit facial coding include the following:  Hands  Large hats with wide brims  Heavy facial hair  Thick-rimmed glasses  Dark glasses, such as sunglasses Resolution and Distance of Faces from Camera Maximum resolution: 1080p resolution. Resolutions beyond this greatly increase processing time and increase the chance that the file size will exceed our 6 GB maximum. Minimum resolution: An imaginary box drawn around each face should be at least 48 x 48 pixels. This requirement, combined with the resolution and field of view (wide angle vs. narrow angle) of the camera, determines the maximum distance a face can be from the camera. Motion Excessive motion can cause blurring and make facial expression analysis difficult. Emotient Analytics analyzes video at the frame level. If the video camera is set at a sufficient frame rate to eliminate blurring, the faces can be analyzed. April 2015 EA-VID-001 Copyright 2015 Emotient Inc