AL provides improved activity recognition using mobile device sensor data and machine learning. It runs on iOS and Android platforms, automatically labels collected data, and can produce time usage reports. AL includes optional user labeling and configuration of data collection schedules. This provides a foundation for non-invasive human behavior analysis and intervention design, including efforts to increase independence and autonomy of individuals with decreased memory and mental capacity.
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