Advancing human activity recognition with quaternion-based recurrent neural networks

Today's article comes from the Journal for Control, Measurement, Electronics, Computing and Communications. The authors are Devi et al., from the Vellore Institute of Technology, in India. In this paper they combine the concepts of quaternions and recurrent neural networks (RNNs), then apply that to fitness tracking.

DOI: 10.1080/00051144.2025.2480419

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