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<br> It compresses the counting pipeline right into a single step somewhat than two or three steps and conducts intensive experiments with a dataset of 28 sports activities occasions. However, to offer an empirical comparison, we will even present results on a subset (half) of the dataset. Our dataset exhibits significant intra-variation inside the peak and non-peak labels. For example, the peak signal of the Burpee exercise fairly differs considerably from that of a Squat, reflecting the inherent variability in motion patterns throughout completely different workout routines. Among the many 30 workout routines conducted in the previous work, we chosen 28 kinds of weight training and home workouts as a result of lack of clear sensor patterns in the opposite two workouts. First, we carry out standard classification training (Phase 1), the place a binary classification community is educated on all base lessons. The strategy employs a Siamese community with triplet loss, optimizing the embedding house to differentiate between peak and non-peak frames.<br>
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