Georgios Sopidis, Michael Haslgrübler-Huemer, Alois Ferscha,
"Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility (Reprint)"
, in Sensors, MDPI, Seite(n) 63-78, 1-2023
Original Titel:
Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility (Reprint)
Sprache des Titels:
Englisch
Original Kurzfassung:
Reprint of the Special Issue Sensors for Human Activity Recognition II that was published in Sensors.
Forschungs-