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A few assistive or adaptive technology gadgets are necessary for any person with a handicap or impairment to live independently on a daily basis. Disabled persons may confidently live their lives thanks to assistive and adaptive technology. For movement, sitting, and placement, the majority of persons with mobility disabilities rely on assistive equipment like wheelchairs. The individual has a loss of confidence while navigating slopey terrain while in a wheelchair. Fearing that they might fall, he or she was terrified. This inspired the development of an engineering solution for those with physical disabilities who rely on wheelchairs for movement. The primary issue with wheelchair placement when navigating hills is addressed by the suggested technique. Modern wheelchairs may be moved via a variety of techniques, including hand gestures, brain control, mobile apps, and joysticks. However, the majority of wheelchairs include fixed seats, making them unsuitable for sloping terrain. The auto-balancing system in this article is meant to automatically alter the seating posture so that a person feels comfortable sitting flat. The plan's gyroscope detects the slope angle in real time and provides the Arduino controller with the appropriate signal to spin the wheel drive in the right directions and bring the seats back to the level position. [ABSTRACT FROM AUTHOR]

Brain control automation is an emerging technology. Even though there are many automated and robotic home applications, this method of home automation controlled by a brain-computer interface will act as a major step in automation research. This research paper discusses the design and development of Brain-Computer Interface of Robot Control with Home Automation for Disabled. The major findings from this paper were an automated system that can interact with the brain and home appliances have been developed from this research work. The finding of this research is the BCI sensor in the scalp sends the brain waves signals to the private computer through Bluetooth medium. The Bulb and Fan are controlled by a brain computing system that uses brain signals as a kind of Attention Level via a Mind Wave Headset. The received BCI signals are processed in pc and transferred to the Arduino controller. The numbers ranging from 1 to 100 are used to evaluate attention and depending on pc serial data, the Arduino controller controls the house appliances. [ABSTRACT FROM AUTHOR]