Lightweight Improvement of Deep Learning Model on Plantar Pressure Images

Personal identity and privacy are critical issues of modern long-term healthcare service. Our previous work has shown one cost-effective deep learning model for identity recognition based on plantar pressure images. In this paper, regarding the requirements of embedded devices, we further extend to achieve lightweight improvement. According to our initial experimental results, the model size can be reduced to 47% but still keep good enough accuracy.