Ni Li

Title: Ni Li: Inventor in Brainprint Recognition

Introduction

Ni Li is a woman inventor associated with Hangzhou Dianzi University in Hangzhou City, China. Her patent work addresses brainprint recognition, a method of identifying individuals through patterns in electroencephalogram (EEG) data.

Latest Patents

The provided information lists one patent for Ni Li: “Task-independent brainprint recognition method based on feature disentanglement by decorrelation.” The invention aims to improve recognition across different tasks, addressing the challenge that task-related changes in EEG signals can obscure identity information.

The method uses two branch networks to separate identity information from task-related information. It then applies decorrelation to make these types of information as independent as possible and uses adversarial self-supervision to support classification. The patent describes the approach as a way to achieve efficient, robust, task-independent brainprint recognition. Ni Li is credited with 1 patent in the information provided.

Career Highlights

Ni Li’s listed invention focuses on making EEG-based identification more reliable when a person performs different tasks. The work seeks to distinguish stable identity features from variations associated with task states, with the goal of supporting practical brainprint recognition.

Collaborations

The provided information names Wanzeng Kong and Xuanyu Jin as Ni Li’s coworkers. Her institutional affiliation is Hangzhou Dianzi University.

Conclusion

Ni Li’s patent presents a feature-disentanglement approach to improving the robustness of brainprint recognition across tasks.