[AriedK]

They mention using a IMU dataset that is collected using an APDM Opal. https://www.apdm.com/wp-content/uploads/2015/05/Opal-Publica... This publication mentions a paper on p. 5839 (p 13 of the pdf) where a single sensor on the waist (as used in the Google research) would lead to an f1 score of 0.77 if I did my math correctly. In other words, pretty close to a >1 shot plot analysis of gpt4o and gemini pro1.5.

I would also be interested how the llm's would hold up to the free-fall interrupt that's built in to some consumer grade IMU's (BMA253 for instance), anyone here with experience in this usecase?