A Method for Implementing LSTM-Based Multiple-People Identification System for Non-Contact Health Monitoring on Small-Scale FPGA

We propose a method for implementing an LSTM-based multiple-people identification system on a small-scale FPGA. To reduce the hardware-resource usage, we introduce a digit adjustment and bit reduction method for converting the floating-point type to the fixed-point type with high precision. It enables not only to reduce the hardware-resource usage without degrading the identification accuracy but also to shorten the computation time by 50% compared to that of the conventional floating-point type.