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No. 1402Problem statementSpace and research

AI Human Activity Recognition for On-board BAS Experiments

Source

Source summary

Train a standalone onboard activity-recognition assistant for predefined BAS experiments using fixed cameras and locally generated training data. Track steps, suggest the next action and issue voice alerts for skipped/out-of-order actions. Produce lightweight timestamped outcome/status logs, store video locally and support streaming to a specified IP, with a GUI. Orientation-agnostic 3D body modelling is optional. The model must run offline; flawless experiment execution is not guaranteed by activity recognition.