Research on development trends of non-medical applications of brain-computer interface

doi:10.12267/j.issn.2096-5931.2026.06.003

Information and Communications Technology and Policy ›› 2026, Vol. 52 ›› Issue (6): 18-22.doi: 10.12267/j.issn.2096-5931.2026.06.003

Previous Articles Next Articles

Research on development trends of non-medical applications of brain-computer interface

WANG Chunjia¹, ZHANG Qian¹, YAN Xu²

¹ Intellectual Property and Innovation Development Center, China Academy of Information and Communications Technology, Beijing 100191, China
² Usiness Development Department, China Academy of Information and Communications Technology, Beijing 100191, China

Received:2026-05-10 Online:2026-06-25 Published:2026-07-06

Abstract

Abstract:

Brain-computer interface (BCI) technology is progressively expanding from medical rehabilitation to non-medical scenarios, forming a diverse application ecosystem covering industrial safety, sleep health management, education and training, sports enhancement, olfactory interaction, and consumer entertainment. Based on a systematic review of the technological development context, this paper analyzes the technical principles, product implementation status, and commercialization progress of six typical non-medical application directions. It further discusses the industrial landscape, technology readiness level distribution, neuroethics, and data governance issues.

Key words: BCI, non-medical application, industry development trend

CLC Number:

WANG Chunjia, ZHANG Qian, YAN Xu. Research on development trends of non-medical applications of brain-computer interface[J]. Information and Communications Technology and Policy, 2026, 52(6): 18-22.

Add to citation manager EndNote|Ris|BibTeX

URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2026.06.003

http://ictp.caict.ac.cn/EN/Y2026/V52/I6/18

[1]	中国信息通信研究院, 脑机接口产业联盟. 脑机接口技术与应用研究报告(2025年)[R], 2025.
[2]	王韬, 何峰. 基于脑电信号的任务诱发疲劳监测的关键挑战与展望[J]. 中国生物医学工程学报, 2025, 44(2):221-231. DOI:10.3969/j.issn.0258-8021.2025.02.010.
[3]	朱皓, 万力, 陈树耿, 等. 脑机接口应用于睡眠障碍的研究进展[J]. 现代仪器与医疗, 2025, 31(5):9-15. DOI:10.11876/mimt202505002.
[4]	徐明. 脑机接口技术的伦理挑战及其理性规制研究[J]. 信息通信技术与政策, 2024, 50(5):54-59. doi: 10.12267/j.issn.2096-5931.2024.05.008
[5]	郑玉双. 脑机接口技术的伦理挑战与法理应对[J]. 齐鲁学刊, 2026(1):75-88. DOI:10.3969/j.issn.1001-022X.2026.01.008.

[1]	YU Zhaoliang, ZHANG Hongxin, YANG Chen. Research on online template update algorithm for brain-computer interface based on rapid serial visual presentation paradigm [J]. Information and Communications Technology and Policy, 2026, 52(6): 2-8.
[2]	JIN Xiao, SHENG Tiancheng, ZHOU Jie. Testing methods for invasive BCI electrodes [J]. Information and Communications Technology and Policy, 2026, 52(6): 23-29.
[3]	YANG Siwei, LIU Ying. Evolution of the global BCI industry landscape and research on collaborative development pathways [J]. Information and Communications Technology and Policy, 2026, 52(6): 30-34.
[4]	HUANG Xin, LIANG Liyan, ZHANG Qian. A review of decoding algorithms for MI-BCI [J]. Information and Communications Technology and Policy, 2026, 52(6): 9-17.
[5]	ZHAO Yu. On the protection pathways for brain privacy in the context of BCI technology [J]. Information and Communications Technology and Policy, 2026, 52(3): 88-96.
[6]	FU Na, ZHOU Jie. Research on the ethical risks and ethical review of brain-computer interfaces [J]. Information and Communications Technology and Policy, 2025, 51(3): 11-15.
[7]	LIU Yongbo, ZHANG Hongxin, YANG Chen. Design and implementation of brain-computer interface teaching system based on distributed architecture [J]. Information and Communications Technology and Policy, 2025, 51(3): 2-10.
[8]	FAN Xuemei, MAN Jianzhi, ZHANG Hui, LONG Shanli, SUN Guangyu. Research on motor imagery brain-computer interface rehabilitation training method incorporating attention assessment and feedback [J]. Information and Communications Technology and Policy, 2025, 51(3): 25-35.
[9]	ZHOU Jie, CHENG Liwei. Global brain computer interface technology and industry development trends [J]. Information and Communications Technology and Policy, 2025, 51(3): 53-58.
[10]	DONG Yue, LIU Ke, WANG Tao. Application of brain-computer interface based on hybrid modalities: a new direction in neural rehabilitation [J]. Information and Communications Technology and Policy, 2024, 50(5): 41-46.
[11]	XU Ming. Research on ethical challenges and rational regulation of brain-computer interface technology [J]. Information and Communications Technology and Policy, 2024, 50(5): 54-59.
[12]	LIANG Liyan, KONG Shuyi, ZHANG Qian, CHENG Liwei, ZHOU Jie, SUN Yike. Exploration and research on paradigm, algorithm, as well as encoding and decoding concepts of brain-computer interface [J]. Information and Communications Technology and Policy, 2024, 50(5): 61-70.

Research on development trends of non-medical applications of brain-computer interface

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

References 5

Related Articles 12

Recommended Articles

Metrics

Comments