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Study of Brain Signal Extraction, Processing and Implementation

MAJID ALI, Muhammad, GRIFFITHS, Alison and HASAN, Mohammad (2018) Study of Brain Signal Extraction, Processing and Implementation. In: IEEE 24th International Conference on Automation & Computing, 6-7 September 2018, Newcastle University, Newcastle upon Tyne, UK.

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Abstract or description

Machine to Machine (M2M) and Device to Device (D2D) communication paradigms make fast, effective autonomous communication possible which is beneficial for devices, people, machines and objects. However, some applications still require an actuation/control signal from a human, more specifically applications in a Home Area Network (HAN). People with a disability may have certain constraints in terms of providing an actuation signal for Internet of Things (IoT) based home appliances. This paper investigates human brain signal extraction using Emotive Epoch headset [reference], processing and controlling a computing mouse. The mouse operations include clicking, cursor movement etc. This study has an option for further enhancement to control more devices and home appliances and to manage energy consumption by suitable scheduling of appliances with improved decisions for a resource constrained disable person’s comfort in smart home based on HAN.

Item Type: Conference or Workshop Item (Paper)
Faculty: School of Creative Arts and Engineering > Engineering
Event Title: IEEE 24th International Conference on Automation & Computing
Event Location: Newcastle University, Newcastle upon Tyne, UK
Event Dates: 6-7 September 2018
Depositing User: Alison GRIFFITHS
Date Deposited: 23 Jan 2019 11:39
Last Modified: 24 Feb 2023 13:53

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