Abstract: A wearable device includes an image sensor oriented to capture the user's first person perspective; a wireless transmitter; a processor configured to relay the data from the image sensor to an external device that is configured to provide information about the user's daily activities through a graphical user interface; and a software program that processes data from the image sensor and classifies the user's activities. A method of using a wearable device is provided.

Abstract: Devices, methods, and processor-readable media for eye tracking using statistically derived linear functions are described. Two simple linear functions may be identified, one for the horizontal and one for the vertical, with two parameters each, that fully correct for horizontal and vertical estimation bias error in a cross-ratio gaze estimation method. An implicit calibration step may be performed that finds the parameters of said linear functions statistically based on undirected user point of gaze measurements that indicate the extremities of the error between gaze vectors and glint vectors. Various hardware devices are described that may implement the novel eye tracking techniques.