AMS-HD applies hyperdimensional computing with mutual information feature selection and positional projection to match SVM and MLP accuracy for AMS detection while using far less power, memory, and hardware resources on FPGA and mobile platforms.
Smartwatch-based maximum oxygen consumption measurement for predicting acute mountain sickness: Diagnostic accuracy evaluation study,
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AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection
AMS-HD applies hyperdimensional computing with mutual information feature selection and positional projection to match SVM and MLP accuracy for AMS detection while using far less power, memory, and hardware resources on FPGA and mobile platforms.