A Study of an EMG-controlled HCI Method by Clenching Teeth

Jeong, Hyuk; Kim, Jong Sung; Choi, Jin-Seong

doi:10.1007/978-3-540-27795-8_17

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…Sörnmo and Laguna [5], and Oskoei and Hu [2] have shown that some EMG non-invasive applications are: 1) kinesiology, since EMG can assist on the study of motor control strategies, mechanics of muscle contraction and gait; 2) ergonomics, as EMG provides a valuable, quantitative measure of muscle load, often used to asses physical load during work, therefore it can help to avoid work-related disorders and design better workplaces; 3) prosthesis control, inasmuch as the control signal is derived with surface electrodes placed over muscles or muscle groups under voluntary control within the residual limb [8,22,43,61]; 4) wheelchair controllers [52,56,71]; 5) virtual keyboards [72]; and 6) diagnoses and clinical applications, such as functional neuromuscular stimulation [54] and detection of preterm births based on uterine myoelectric signals.…”

Section: Emg Non-invasive Applicationsmentioning

confidence: 99%

Bio-signal based control in assistive robots: a survey

Rechy-Ramirez

2015

Digital Communications and Networks

100

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Recently, bio-signal based control has been gradually deployed in biomedical devices and assistive robots for improving the quality of life of disabled and elderly people, among which electromyography (EMG) and electroencephalography (EEG) bio-signals are being used widely. This paper reviews the deployment of these bio-signals in the state of art of control systems. The main aim of this paper is to describe the techniques used for (i) collecting EMG and EEG signals and diving these signals into segments (data acquisition and data segmentation stage), (ii) dividing the important data and removing redundant data from the EMG and EEG segments (feature extraction stage), and (iii) identifying categories from the relevant data obtained in the previous stage (classification stage). Furthermore, this paper presents a summary of applications controlled through these two bio-signals and some research challenges in the creation of these control systems. Finally, a brief conclusion is summarized.

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Section: Emg Non-invasive Applicationsmentioning

confidence: 99%

Bio-signal based control in assistive robots: a survey

Rechy-Ramirez

2015

Digital Communications and Networks

100

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“…Employed sensors include EMG sensing on the temporal muscles [77], [78], sensing of vibrations in the jawbone and skull through an accelerometer (typically positioned around the external ear) [79], [80], as well as acoustic detection of tooth clicks using contact microphones on the throat or ear [81], [82]. Some of these studies report accurate recognition of up to seven different clicks [77], which can be used to emulate a mouse. Lateral and longitudinal displacement may also be recognized, through Hall effect sensors.…”

Section: ) Teethmentioning

confidence: 99%

Hands-Free Accessible Digital Musical Instruments: Conceptual Framework, Challenges, and Perspectives

Davanzo

Avanzini

2020

IEEE Access

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Exponential increases of available computational resources, miniaturization, and sensors, are enabling the development of digital musical instruments that use non-conventional interaction paradigms and interfaces. This scenario opens up new opportunities and challenges in the creation of accessible instruments to include persons with disabilities into music practice. This work focuses in particular on instruments dedicated to people who can not use limbs, for whom the only means for musical expression are the voice and a small number of traditional instruments. First, a modular and adaptable conceptual framework is discussed for the design of accessible digital musical instruments targeted at performers with motor impairments. Physical interaction channels available from the neck upwards (head, mouth, eyes, brain) are analyzed in terms of potential and limitations for musical interaction. Second, a systematic survey of previously developed instruments is presented: each is analyzed in terms of design choices, physical interaction channels and related sensors, mapping strategies, performer interface and feedback. As a result of this survey, several open research directions are discussed, including the use of unconventional interaction channels, musical control mappings, multisensory feedback, design, evaluation, and adaptation. INDEX TERMS Accessibile interfaces, Music technology, Digital musical instruments, Inclusive music practice VOLUME ...

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“…In psychophysiology EMG signals have been used to investigate affective influences [7]. Furthermore, novel human-machine interaction techniques incorporating analysis of EMG signals have been investigated in tasks such as controlling a traditional computer [8][9][10], a wheel chair [11] and an artificial prosthesis [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Application of a modified two-point backward difference to sequential event detection in surface electromyography

Niemenlehto

Juhola

2009

Journal of Medical Engineering & Technology

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Reliable detection of onset and termination of muscle contraction is an essential task in the analysis of surface electromyographic signals. An event detection method that can be used for sequential detection of both onset and termination of muscle contraction is described. The method builds on the techniques of envelope detection, two-point backward difference and threshold based decision making. Therefore, fast conventional digital signal processing techniques can be used in its implementation. Because the method is computationally efficient, it can be employed in both real-time and non-real-time applications. This text discusses the architecture of the method, considers the practical aspects of its implementation, analyses its computational complexity and evaluates its performance on the grounds of experimental results.

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A Study of an EMG-controlled HCI Method by Clenching Teeth

Cited by 5 publications

References 3 publications

Bio-signal based control in assistive robots: a survey

Bio-signal based control in assistive robots: a survey

Hands-Free Accessible Digital Musical Instruments: Conceptual Framework, Challenges, and Perspectives

Application of a modified two-point backward difference to sequential event detection in surface electromyography

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