Update of fNIRS as an Input to Brain–Computer Interfaces: A Review of Research from the Tufts Human–Computer Interaction Laboratory

Photonics

卷:6

Alexa Bosworth¹  Matthew Russell¹  RobertJ. K. Jacob¹ 

[1] Department of Computer Science, Tufts University, Medford, MA 02155, USA;

关键词: BCI;    fNIRS;    HCI;    implicit brain computer interfaces;    human computer interaction;   

DOI  :  10.3390/photonics6030090

来源: DOAJ

【 摘 要 】

Over the past decade, the Human−Computer Interaction (HCI) Lab at Tufts University has been developing real-time, implicit Brain−Computer Interfaces (BCIs) using functional near-infrared spectroscopy (fNIRS). This paper reviews the work of the lab; we explore how we have used fNIRS to develop BCIs that are based on a variety of human states, including cognitive workload, multitasking, musical learning applications, and preference detection. Our work indicates that fNIRS is a robust tool for the classification of brain-states in real-time, which can provide programmers with useful information to develop interfaces that are more intuitive and beneficial for the user than are currently possible given today’s human-input (e.g., mouse and keyboard).

【 授权许可】

Unknown