Designing Future BCIs: Beyond the Bit Rate

Quek, Melissa; Höhne, Johannes; Murray-Smith, Roderick; Tangermann, Michael

doi:10.1007/978-3-642-29746-5_9

Cited by 7 publications

(6 citation statements)

References 58 publications

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“…The requirements for speller application can be categorized at different levels depending upon the physical abilities of its users [10]: 1) Users with no physical disability, who may use NCI for entertainment or other conditions where physical movement is restricted. 2) Users with minor impairments (such as older persons).…”

Section: Analysis Of Requirements For Speller Applicationmentioning

confidence: 99%

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EMG Speller with Adaptive Stimulus Rate and Dictionary Support

Vasiljevas¹,

Turčinas²,

Damaševičius³

2014

Annals of Computer Science and Information Systems

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Ambient Assisted Living (AAL) aims to improve the quality of daily life for all humans in different periods of life. Neural-Computer Interface (NCI) can be used within AAL environments to provide alternative communication means for impaired persons bypassing the need for speech and other motor activities. By monitoring, analyzing and responding to muscular activity (EMG signals) of users, NCI systems are able to monitor, diagnose and respond to the cognitive, emotional and physical states of users in real time. In this paper we analyze and develop a speller application based on the EMG interface. We analyze requirements for developing interfaces for disabled users and interfaces of known speller applications, and describe the development of the EMG-based speller as a benchmark application. The developed speller has adaptive stimulus rate and allows word selection from dictionary. We evaluate performance and usability of the developed speller using a set of empirical (accuracy, information transfer speed, input speed), ergonomic (NASA-TLX scale) and conceptual (humanistic intelligence) attributes.

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Section: Analysis Of Requirements For Speller Applicationmentioning

confidence: 99%

“…Examples of such interface are 27 symbol triads [20] or 64 symbol quadrants [21]. The Rotate-Extend (REx) paradigm [10] consists of a wheel divided into segments (see Fig. 5).…”

Section: Review Of Speller Interfacesmentioning

confidence: 99%

EMG Speller with Adaptive Stimulus Rate and Dictionary Support

Vasiljevas¹,

Turčinas²,

Damaševičius³

2014

Annals of Computer Science and Information Systems

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“…It has been said that for BCIs a selection accuracy of 70% is acceptable [21]. Another BCI research group determined the minimum level of accuracy to be 77% for four input classes [19].…”

Section: Background and Related Workmentioning

confidence: 99%

Perception and Manipulation of Game Control

Bos

Laar

Reuderink

et al. 2014

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Brain-computer interfaces do not provide perfect recognition of user input, for similar reasons as natural input modalities. How well can users assess the amount of control they have, and how much control do they need? We describe an experiment where we manipulated the control users had in a keyboard-controlled browser game. The data of 211 runs from 87 individuals indicates a significant linear correlation between users' sense of control and the amount of control they really had in terms of mutual information (not accuracy!). If users know what they put in, they can assess quite well how much control they have over the system. In our case, from an amount of control of above 0.68 bits in mutual information (a 5-class accuracy of 65%), this aspect of control no longer seems to be the critical factor for finishing the game. Deliberate manipulation of perception may offer a way to make imperfect, uncertain input modalities more acceptable, especially in combination with games.

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“…Project TOBI [4,5,6] uses noninvasive BMI combined with other assistive technologies to improve the quality of life of disabled people through a hybrid approach enabling to fuse brain communication and muscle-based physiological signals. Project TREMOR [7] utilizes BMIs to detect and suppress involuntary tremors through selective functional electrical stimulation.…”

Section: Introductionmentioning

confidence: 99%

Resonant ultrasonic wireless power transmission for bio-implants

et al. 2014

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In this paper, we present the ultrasonic wireless power transmission system as part of a brain-machine interface (BMI) system in development to supply the required electric power. Making a small-size implantable BMI, it is essential to design a low power unit with a rechargeable battery. The ultrasonic power transmission system has two piezoelectric transducers, facing each other between skin tissues converting electrical energy to mechanical vibrational energy or vice versa. Ultrasound is free from the electromagnetic coupling effect and medical frequency band limitations which making it a promising candidate for implantable purposes. In this paper, we present the design of piezoelectric composite transducer, the rectifier circuit, and rechargeable battery that all packaged in biocompatible titanium can. An initial prototype device was built for demonstration purpose. The early experimental results demonstrate the prototype device can reach 50% of energy transmission efficiency in a water medium at 20mm distance and 18% in animal skin tissue at 18mm distance, respectively.

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Designing Future BCIs: Beyond the Bit Rate

Cited by 7 publications

References 58 publications

EMG Speller with Adaptive Stimulus Rate and Dictionary Support

EMG Speller with Adaptive Stimulus Rate and Dictionary Support

Perception and Manipulation of Game Control

Resonant ultrasonic wireless power transmission for bio-implants

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