A preliminary survey on the perception of marketability of Brain-Computer Interfaces (BCI) and initial development of a repository of BCI companies

نویسندگان

  • F. Nijboer
  • B. Z. Allison
  • S. Dunne
  • D. Plass-Oude Bos
  • A. Nijholt
  • P. Haselager
چکیده

The marketability of current and future BCI applications may greatly influence the decisions of goverments, the industry and academia. In this paper we first explored with a survey when respondents (N=145), who were present at the 4th International BCI Meeting, expect that different BCI applications will become commercially available. Second, we surveyed how well existing BCI companies are known to respondents. Third, we compared the findings with our own preliminary overview of the marketability of BCIs and our repository of 28 companies. Respondents were optimistic about the marketability of BCIs for healthy users and users who need assistive technology, but 72.4 % of the respondents was unaware that companies already exist which market BCI’s. Based on a preliminary market overview we cautiously suggest that optimism in relation to applications for healthy users is more appropriate than in relation to BCI-based assistive technology. In future we plan surveys among a broader range of stakeholders and a more profound analysis of the market.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

EEG Based Brain Computer Interface Hand Grasp Control: Feature Extraction Method MTCSP

Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...

متن کامل

Development of a Brain Computer Interface (BCI) Speller System Based on SSVEP Signals

BCI is one of the most intriguing technologies among other HCI systems, mostly because of its capability of recording brain activities. Spelling BCIs, which help paralyzed people to maintain communication, are one of the striking topics in the field of BCI. In this scientific a spelling BCI system with high transfer rate and accuracy that uses SSVEP signals is proposed.In addition, we suggested...

متن کامل

EEG Based Brain Computer Interface Hand Grasp Control: Feature Extraction Method MTCSP

Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...

متن کامل

Comparison Between Different Methods of Feature Extraction in BCI Systems Based on SSVEP

‎There are different feature extraction methods in brain-computer interfaces (BCI) based on Steady-State Visually Evoked Potentials (SSVEP) systems‎. ‎This paper presents a comparison of five methods for stimulation frequency detection in SSVEP-based BCI systems‎. ‎The techniques are based on Power Spectrum Density Analysis (PSDA)‎, ‎Fast Fourier Transform (FFT)‎, ‎Hilbert‎- ‎Huang Transform (H...

متن کامل

Comparison of Different Linear Filter Design Methods for Handling Ocular Artifacts in Brain Computer Interface System

 Brain-computer interfaces (BCI) record brain signals, analyze and translate them into control commands which are relayed to output devices that carry out desired actions. These systems do not use normal neuromuscular output pathways. Actually, the principal goal of BCI systems is to provide better life style for physically-challenged people which are suffered from cerebral palsy, amyotrophic l...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011