Abstract: System and method for enabling user communication with eye-based feedback. A selection interface selectively presents a series of communication options to the user. A sensor detects light reflected from the eye of the user and provides a correlative signal, which is processed to determine a relative eye orientation that includes the relative orientation of the pupil with respect to the head orientation of the user. The eye may be illuminated by a light source or ambient lighting. The sensor may detect infrared light reflected from the eye illuminated by an infrared light source. The relative eye orientation may be determined by processing images captured by an image sensor. The relative eye orientation may be determined by detecting an instantaneous relative orientation of the pupil or by detecting a transient change of the pupil. Based on the determined relative eye orientation, a selected communication option is determined and implemented.

Abstract: Personal communication devices and computer-implemented systems for monitoring of ALS disease state of a patient are presented. The computer-implemented system comprises assignment selection module configured to access a library comprising predefined activity(ies), and enable selection of at least one predefined activity to be monitored by sensor(s) associated with the patient; assignment execution module configured to identify sensing signal(s) from the sensor(s) and generate corresponding output signal(s) indicative of the predefined activity, the sensing signal(s) comprising at least one of the following: reading, drawing, finger tapping, speaking, breathing, walking; and assignment reporting module configured to communicate with a data analyzer for communicating the output signal(s) indicative of the predefined activity to the data analyzer, thereby enabling storing the output data in a memory for use in monitoring and analyzing the ALS disease state of the patient.

Abstract: Personal communication devices and computer-implemented systems for monitoring of ALS disease state of a patient are presented. The computer-implemented system comprises assignment selection module configured to access a library comprising predefined activity(ies), and enable selection of at least one predefined activity to be monitored by sensor(s) associated with the patient; assignment execution module configured to identify sensing signal(s) from the sensor(s) and generate corresponding output signal(s) indicative of the predefined activity, the sensing signal(s) comprising at least one of the following: reading, drawing, finger tapping, speaking, breathing, walking; and assignment reporting module configured to communicate with a data analyzer for communicating the output signal(s) indicative of the predefined activity to the data analyzer, thereby enabling storing the output data in a memory for use in monitoring and analyzing the ALS disease state of the patient.