A tool-based methodology for long-term activity monitoring
Rafik Belloum, Charles Consel, Nic Volanschi · 2020
In recent years, remarkable progress has been reported in the field of activity monitoring. However, despite significant breakthroughs in recognizing activities from sensor data, there is still a great deal more to accomplish, especially compared to fields pursuing related goals, such as computer vision and speech recognition. A key factor to move activity monitoring forward, is to enable researchers to build on each other's work more systematically via reproducible research. Besides providing sensor data, reproducibility in activity monitoring requires all aspects of a result to be available to the research community, including collection, processing and interpretation of measurements.