cooking-activity-recognition

There are 0 repository under cooking-activity-recognition topic.

marinimau / cooking_activity_recognition_new_attempt
The application classifies the minutes in which the user has cooked. The dataset contains one record per minute for approximately one month.
machine-learning neural-networks principal-component-analysis sklearn cooking-activity-recognition human-activity-recognition indoor-air-quality air-quality
Language:Jupyter Notebook
marinimau / Spike-detection-for-cooking-activity-recognition-based-on-indoor-air-quality-sensor
Lo scopo dell'applicazione è quello di costruire un feature vector per la predizione dei pasti in base a valori registrati da sensori di qualità dell'aria. Le feature prodotte verranno automaticamente unite a feature statistiche già presenti in alcuni files. Per la classificazione utilizzare il Knowledge Flow Enviroment di Weka impostato nel file allegato.
feature-vector spike-detection python scipy numpy matplotlib air-quality indoor-air-quality human-activity-recognition cooking-activity-recognition
Language:Python

marinimau / cooking_activity_recognition_new_attempt