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Detecting Foot Strikes during Running with Earbuds
https://mobile-systems.cl.cam.ac.uk/papers/bodysys24-dong.pdf2 May 2024: test, where only one user is iteratively selected for testingwhile the remaining subjects are for training. ... 4.2 Comparison of Features: MFCC vs. FFT. 4.3 Individual Performance. 4.4 Performance of Leave-one-out Test. -
Emotion Recognition from Speech Signals byMel-Spectrogram and a…
https://mobile-systems.cl.cam.ac.uk/papers/EMBC24.pdf2 May 2024: Unlike the RAVDESS dataset, where theemotions are expressed by actors, a variety of mood inductionprocedures are used in the DEMoS dataset followed by aperception test, making it more authentic. -
IMChew: Chewing Analysis using Earphone Inertial Measurement Units
https://mobile-systems.cl.cam.ac.uk/papers/bodysys24-yang.pdf2 May 2024: 5.1 Chewing DetectionTable 2 presents the overall performance of different classi-fiers for chewing detection when evaluated with an 80/20train-test split. ... Nonetheless, oursolution performs well under both evaluation methods. (a) 80/20 Train-test -
UR2M: Uncertainty and Resource-Aware Event Detection on…
https://mobile-systems.cl.cam.ac.uk/papers/percom24.pdf5 Feb 2024: After preprocessing, we obtained 92,502 total. event training samples (90%) and 10,278 test samples (10%). ... quantification method generating multiple test samples by. applying data augmentation techniques through a single model. -
IEEE JOURNAL OF BIOMEDICAL AND HEALTH IN-FORMATICS 1…
https://mobile-systems.cl.cam.ac.uk/papers/JBHI24Xia.pdf8 Apr 2024: The datasets used encompassvarious modalities, and all of them exhibit severe classimbalance, making them ideal test beds for the evaluation. ... FOLDS WITH DIFFERENT SEEDS. #TEST IS THE TESTING SIZE. C IS THE NUMBER OF CLASSES AND D IS THE INPUT DATA
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