Experimental Model of a Robotic Hand Controlled by Using NeuroSky Mindwave Mobile Headset

Rușanu, Oana Andreea; Cristea, Luciana; Luculescu, Marius Cristian; Zamfira, Sorin Constantin

doi:10.1109/ehb47216.2019.8970050

Cited by 5 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[6], [10], [11], [1], [12],[6], [13],[5] Discapacidad [14], [15], [16], [17], [18], [19], [20], [22] Educación [23],[24] [25], [26],[27], [28],[29], [12], [30], [31], [32 ],[33], [34] Emoción [35],[36],[37], [38], [13] Ética [39] Internet de las cosas (IO T) [40], [41], [42] Marketing [43], [44], [45], [46] Redes Neuronales…”

Section: Publicaciones Estado Del Artementioning

confidence: 99%

“…En la generación de patrones de movimiento direccionales que le permiten a las personas con limitaciones físicas utilizar más fácilmente las tecnologías BCI para movilizarse [49]. Generar redes neuronales que puedan predecir estados mentales de concentración o meditación y de esta forma ser aplicadas de manera más eficiente en temáticas de IoT [15].…”

Section: Robóticaunclassified

See 1 more Smart Citation

Trends in the use of Neurosky Mindwave for the development of Brain Computer Interfaces BCI

Soto¹,

Hernandez²

2022

Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research A

View full text Add to dashboard Cite

A systematic review of the literature is developed around the applications of Brain Computer Interface (BCI) devices that use the low-cost Neurosky Mindwave device in the period 2016 -2021, through the PRISMA method, in the IEEE databases. Explore, ScienceDirect and Publindex. 65 publications were analyzed and classified into 12 categories, obtaining research trends in ed ucation, robotics, well-being in people with motor disabilities, marketing and emotions, Internet of Things (IoT), authentication and software development. The country that contributed the most publications was India and in 2019 the highest number of publications was registered.There is evidence of potential for the use of the MindWave device in applied research and development in the areas described above, given that this is an affordable and economical device.

show abstract

Section: Publicaciones Estado Del Artementioning

confidence: 99%

Section: Robóticaunclassified

Trends in the use of Neurosky Mindwave for the development of Brain Computer Interfaces BCI

Soto¹,

Hernandez²

2022

Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research A

View full text Add to dashboard Cite

show abstract

“…However, even though the single-node EEG device of the mind has been adopted by many research teams and faculty members around the world, due to the limited cost of technology development, the algorithm effect of calculating data is not satisfactory. There has been a lot of research using the TGAM, such as EEG control of wheelchairs to develop disability services [10], robotic hand controlled [11,12], and brain training [13]. This device has a wide range of application fields.…”

Section: Technical Backgroundmentioning

confidence: 99%

Attention Optimization Method for EEG via the TGAM

Xie

2020

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

Since the 21st century, noninvasive brain-computer interface (BCI) has developed rapidly, and brain-computer devices have gradually moved from the laboratory to the mass market. Among them, the TGAM (ThinkGear Asic Module) and its encapsulate algorithm have been adopted by many research teams and faculty members around the world. However, due to the limited development cost, the effectiveness of the algorithm to calculate data is not satisfactory. This paper proposes an attention optimization algorithm based on the TGAM for EEG data feedback. Considering that the data output of the TGAM encapsulate algorithm fluctuates greatly, the delay is high and the accuracy is low. The experimental results demonstrated that our algorithm can optimize EEG data, so that with the same or even lower delay and without changing the encapsulate algorithm of the module itself, it can significantly improve the performance of attention data, greatly improve the stability and accuracy of data, and achieve better results in practical applications.

show abstract

“…EMG) controlled cybernetic hand. Similarly, [14] also investigates HMI using brainwaves but the key hurdle seems to be expensive sensors or a bespoke sensor design and development. To adapt to the current project, with a costeffective methodology for hand capture, we envisaged flexible sensors instead of EMG.…”

Section: Introductionmentioning

confidence: 99%

Smart, Secure and Sustainable Robotic Hand

Mariyanayagam

Shukla

2020

2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)

View full text Add to dashboard Cite

Robotic manipulators have a wide range of applications in many sectors from automation to medical surgery. Since decades, researchers and developers have been proposing creative designs in leveraging specific applications or to demonstrate proof of concepts in bespoke scenarios. This paper presents a novel smart, secure and sustainable framework for the design of a 3D printed robotic hand. The smart robotic hand, consisting of two elements: i) a userwearable glove and ii) a mechanical hand, is a seamless entity in which the movement of the mechanical hand is controlled by the user-wearable glove. A real-time communication between the glove (server) and the mechanical hand (client) is facilitated through a secure wireless client-server model running on a commercially available microcontroller making it light-weight and cost-effective. In order to promote sustainable 3D printing, a conscious decision was taken to use recyclable and biodegradable Polylactic acid (PLA) based wood filament for the casing of the mechanical hand as well a cotton and linen based material for the user glove.

show abstract

Experimental Model of a Robotic Hand Controlled by Using NeuroSky Mindwave Mobile Headset

Cited by 5 publications

References 3 publications

Trends in the use of Neurosky Mindwave for the development of Brain Computer Interfaces BCI

Trends in the use of Neurosky Mindwave for the development of Brain Computer Interfaces BCI

Attention Optimization Method for EEG via the TGAM

Smart, Secure and Sustainable Robotic Hand

Contact Info

Product

Resources

About