Machine learning model detects indoor or outdoor walks based only on movement data

The wide availability of wearable sensors allows for rich data collection on a person's walking patterns, providing valuable health insights. But factors like location, terrain or the built environment alter walking behavior, making data difficult to interpret without context.

availability behavior built environment collection context data data collection engineering environment health insights location machine machine learning machine learning model making patterns person rich data sensors walking wearable wearable sensors