Skip to main content

Table 2 Results for 1. EgoPlaceNet.v1 (fine-tuned on the selected training dataset from MINC+HUJI EgoSeg+GTOS) when applied to MAGFRA-W (validation accuracy at the end of the training process: 93.97\(\%\)), and 2. EgoPlaceNet-LOSO\(_n\) for participant n. LOSO\(_{val}\) indicates the validation accuracy at the end of the training process for each model. Darker shades of grey indicate higher per-class accuracies.

From: Egocentric vision-based detection of surfaces: towards context-aware free-living digital biomarkers for gait and fall risk assessment