THE BRAIN-COMPUTER INTERFACE IN THE INTERNET OF THINGS

A brain-computer interface for controlling elements commonly used at home is presented in this paper. It includes the electroencephalography device needed to acquire signals associated to the brain activity, the algorithms for artefact reduction and event classification, and the communication protocol.

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Brain-Computer Interfaces for Internet of Things

10.20944/preprints201809.0293.v1 ◽

2018 ◽

Author(s):

Francisco Laport ◽

Francisco J. Vazquez-Araujo ◽

Paula M. Castro ◽

Adriana Dapena

Keyword(s):

Internet Of Things ◽

Communication Protocol ◽

Brain Activity ◽

Brain Computer Interface ◽

Computer Interface ◽

Event Classification ◽

Computer Interfaces ◽

Controlling Elements ◽

Artefact Reduction ◽

The Brain

A brain-computer interface for controlling elements commonly used at home is presented in this paper. It includes the electroencephalography device needed to acquire signals associated to the brain activity, the algorithms for artefact reduction and event classification, and the communication protocol.

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RFID Protocol Design, Optimization, and Security for the Internet of Things

10.1049/pbce112e ◽

2017 ◽

Author(s):

Alex X. Liu ◽

Muhammad Shahzad ◽

Xiulong Liu ◽

Keqiu Li

Keyword(s):

Internet Of Things ◽

Design Optimization ◽

Protocol Design ◽

The Internet ◽

The Internet Of Things ◽

Rfid Protocol

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Multimedia system and database simulation based on internet of things and cloud service platform

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189253 ◽

2020 ◽

pp. 1-12

Author(s):

Zhang Caiqian ◽

Zhang Xincheng

Keyword(s):

Internet Of Things ◽

Cloud Service ◽

Multimedia System ◽

The Internet ◽

Multimedia Database ◽

Cloud Platform ◽

Service Platform ◽

Device Management ◽

Cloud Service Platform ◽

The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

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Review of the Current State and Future Development in Standardising Artificial Lighting

Light & Engineering ◽

10.33383/2019-011 ◽

2019 ◽

pp. 4-44 ◽

Cited By ~ 1

Author(s):

Peter Thorns

Keyword(s):

Internet Of Things ◽

Future Development ◽

Best Practice ◽

The Internet ◽

Artificial Lighting ◽

Current State ◽

Internal Structures ◽

European Regulations ◽

The Internet Of Things

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.

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NON-INVASIVE BCI METHOD: EEG - ELECTROENCEPHALOGRAPHY

International Conference on Technics Technologies and Education ◽

10.15547/ictte.2019.02.095 ◽

2019 ◽

pp. 139-145

Author(s):

Selma Büyükgöze

Keyword(s):

Brain Computer Interface ◽

Computer Interface ◽

Electrode Placement ◽

Eeg Signals ◽

Non Invasive ◽

Brain Signals ◽

Brain States ◽

The Brain

Brain Computer Interface consists of hardware and software that convert brain signals into action. It changes the nerves, muscles, and movements they produce with electro-physiological signs. The BCI cannot read the brain and decipher the thought in general. The BCI can only identify and classify specific patterns of activity in ongoing brain signals associated with specific tasks or events. EEG is the most commonly used non-invasive BCI method as it can be obtained easily compared to other methods. In this study; It will be given how EEG signals are obtained from the scalp, with which waves these frequencies are named and in which brain states these waves occur. 10-20 electrode placement plan for EEG to be placed on the scalp will be shown.

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