Comparison of five time series EMG features extractions using Myo Armband

Arief, Zainal; Sulistijono, Indra Adji; Ardiansyah, Roby Awal

doi:10.1109/elecsym.2015.7380805

Cited by 61 publications

(35 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Deuxième caractéristique extraite du Myo™ (FM2) : Longueur de la forme d'onde. WL (Waveform Length) est une variation cumulative pouvant indiquer les variations de degré des signaux EMG [4]. Il est défini comme suit:…”

Section: Cs(junclassified

A study on the simultaneous consideration of two modalities for the recognition of SoundPainting gestures

Dongo

Jáuregui

Couture

2019

Proceedings of the 31st Conference on l'Interaction Homme-Machine

View full text Add to dashboard Cite

show abstract

Section: Cs(junclassified

A study on the simultaneous consideration of two modalities for the recognition of SoundPainting gestures

Dongo

Jáuregui

Couture

2019

Proceedings of the 31st Conference on l'Interaction Homme-Machine

View full text Add to dashboard Cite

show abstract

“…Trajectories in 3.2.4, are defined by first mapping (i) the movement intensity and (ii) the orientation of the arm into sound-object velocity and initial angle. The former (i) is calculated to the sum of (a) the mean absolute value of the forearm's muscle activity (Formula 2) after Arief et al (2015), and (b) the absolute value of the arm's movement velocity into initial velocity (Formula 3). The latter (ii) by mapping the orientation of the arm into initial angle (Formula 4) of the trajectory.…”

Section: Formula 1: Pointer Acceleration Function To Transformmentioning

confidence: 99%

Approaches to Visualising the Spatial Position of ‘Sound-objects’

Bullock¹,

Donato²

2016

Electronic Workshops in Computing

View full text Add to dashboard Cite

In this paper we present the rationale and design for two systems (developed by the Integra Lab research group at Birmingham Conservatoire) implementing a common approach to interactive visualisation of the spatial position of 'sound-objects'. The first system forms part of the AHRCfunded project 'Transforming Transformation: 3D Models for Interactive Sound Design', which entails the development of a new interaction model for audio processing whereby sound can be manipulated through grasp as if it were an invisible 3D object. The second system concerns the spatial manipulation of 'beatboxer' vocal sound using handheld mobile devices through alreadylearned physical movement. In both cases a means to visualise the spatial position of multiple sound sources within a 3D 'stereo image' is central to the system design, so a common model for this task was therefore developed. This paper describes the ways in which sound and spatial information are implemented to meet the practical demands of these systems, whilst relating this to the wider context of extant, and potential future methods for spatial audio visualisation. Digital art. Mobile applications. Music. Performing arts. Technologies.

show abstract

“…The most commonly used ones are these from muscles. Using electromyography (EMG) hand gestures can be recognised [5]. Other interfaces are based on signals coming from the human brain.…”

Section: Introductionmentioning

confidence: 99%

Controlling the industrial robot model with the hybrid BCI based on EOG and eye tracking

Kubacki

Jakubowski

2019

MATEC Web Conf.

View full text Add to dashboard Cite

The article describes the design process of building a hybrid brain-computer interface based on Electrooculography (EOG) and centre eye tracking. In the first paragraph authors presented theoretical information about Electroencephalography (EEG), Electrooculography (EOG), and Eye. Authors prepared an overview of the literature concerning hybrid BCIs. The interface was built with use of bioactive sensors mounted on the head. Movement of industrial robot model was triggered by a signal from eyes movement by EOG and eye tracking. The built interface has been tested. Three experiments were carried out. In all experiments, three people aged 25-35 were involved. 30 attempts per scenario were recorded. Between each attempt, a respondent had a 1-minute break. The investigators attempted to move cube from one table to the other.

show abstract

Comparison of five time series EMG features extractions using Myo Armband

Cited by 61 publications

References 4 publications

A study on the simultaneous consideration of two modalities for the recognition of SoundPainting gestures

A study on the simultaneous consideration of two modalities for the recognition of SoundPainting gestures

Approaches to Visualising the Spatial Position of ‘Sound-objects’

Controlling the industrial robot model with the hybrid BCI based on EOG and eye tracking

Contact Info

Product

Resources

About