Georgios Sopidis, Michael Haslgrübler, Alois Ferscha. Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility. Sensors, 23(11):5057, 2023. [doi]
@article{SopidisHF23,
title = {Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility},
author = {Georgios Sopidis and Michael Haslgrübler and Alois Ferscha},
year = {2023},
doi = {10.3390/s23115057},
url = {https://doi.org/10.3390/s23115057},
researchr = {https://researchr.org/publication/SopidisHF23},
cites = {0},
citedby = {0},
journal = {Sensors},
volume = {23},
number = {11},
pages = {5057},
}