Abstract: An improved sleep onset/offset detection method based on a compact neural network that runs in a wearable device processing sensor data in near real-time, which means accumulating data from a few minutes instead of seconds before starting predictions.

Abstract: A method and system for the recognition of sensor data, like an accelerometer and a gyroscope. The method includes data/feature enrichment before a learning process. Thus, the learning process can benefit from better data, which includes both raw sensor data and enriched data/features. As a consequence, classification models may become less complex without harming accuracy and, therefore, can be more easily deployed to mobile devices, consuming less processing power and battery.

Abstract: A method and system for the recognition of sensor data, like an accelerometer and a gyroscope. The method includes data/feature enrichment before a learning process. Thus, the learning process can benefit from better data, which includes both raw sensor data and enriched data/features. As a consequence, classification models may become less complex without harming accuracy and, therefore, can be more easily deployed to mobile devices, consuming less processing power and battery.

Abstract: The present invention relates to a system and method for efficiently generating images and videos as an array of objects of interest (e.g., faces and hands, plates, etc.) in a desired resolution to perform vision tasks, such as face recognition, facial expression analysis, detection of hand gestures, among others. The composition of such images and videos takes into account the similarity of objects in the same category to encode them more effectively, providing savings in terms of time transmission and storage. Transmission time is less advantage to such a system in terms of efficiency, while less low cost storage means for storing data.

Abstract: The present invention relates to a system and method for efficiently generating images and videos as an array of objects of interest (e.g., faces and hands, plates, etc.) in a desired resolution to perform vision tasks, such as face recognition, facial expression analysis, detection of hand gestures, among others. The composition of such images and videos takes into account the similarity of objects in the same category to encode them more effectively, providing savings in terms of time transmission and storage. Transmission time is less advantage to such a system in terms of efficiency, while less low cost storage means for storing data.