Abstract: Human activity recognition (HAR) ideally relies on data from wearable or environment-instrumented sensors sampled at regular intervals, enabling standard neural network models optimized for ...
Abstract: The above article [1] omitted a crucial step: A phase unwrapping process for $\angle {{s}_{D.\text{mea}}}[ n ]$ to prevent unnecessary spikes in its ...
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