COE Thesis and Final Year Project (FYP)

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COE Thesis and Final Year Project (FYP)

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Browsing COE Thesis and Final Year Project (FYP) by Subject "Accelerometer"

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    Publication
    Design of hand gesture control by using gyro sensors and arduino to control fan movement and speed
    (2020-02)
    Muhammad Amir Hazim Bin Jamaluddin
    A home appliance is usually the most frequently used technologies aside from the mobile phones in our daily life. The world is changing very rapidly and technology is adapting to human ergonomics along the way. A hand-gesture control would be able to remove the need to have multiple unused buttons on the traditional remote controls. A healthier alternative too as it would initiate the motor drives in our hands. Contrary to past studies, the Arduino UNO has been the most widely experimented microcontroller. This study focuses more on the Arduino Lilypad as it is very suitable to become a hand-gesture remote due to its convenient design. The main objective of this study is to be able to incorporate hand-gesture controls and home appliance through wireless technology. A bundle of source codes is also used to program the Arduino boards. However, this experiment was not able to fully complete the whole device through wireless means but it can still work independently. The Arduino UNO and the Arduino Lilypad both have similar capabilities but the Arduino Lilypad is the more perfect fit to become a hand-gesture controller.
      12  65
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    Design of auto - balance wheelchair
    (2019-10)
    Poovaneswaran A/l Kalisvaran
    As a known fact, a wheelchair serves the purpose of transporting people when walking is difficult or impossible due to illness, injury or even disability. In this thesis, the explanation on the design and construction of the self-balancing wheelchair is legitimate. The said wheelchair has a set of two wheels to support the transportation mode. This self-balancing mechanism is achieved by using gyroscope and accelerometer sensor (MPU6050). Proper circuitry diagram which includes sufficient voltage and current pass through each component leads to efficient mode of self-balancing mechanism. The use of batteries will allow the wheelchair to operate for longer hours. This wheelchair not only using MPU6050 but also the proportional-integral and derivative control (PID) to compute and self-balance at 0.1 seconds interval. Keyword: Self balancing wheelchair, PID control, Gyroscope, Accelerometer, Arduino
      23  220
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    Publication
    Simple Hand Gesturebased Control for Wheelchair
    (2020-09)
    Mohammad Yahya bin Tahir
    A wheelchair is the most common assistive device which enables personal mobility and it is one of the important aspects of the user’s life. At present, 1 percent of the population which is about 65 million, requires to use a wheelchair in their daily life, and from that 65 million, 20 million users do not have a proper wheelchair for mobility. Thus, this research focuses on the specific type of users or patients who have difficulties in using traditional wheelchairs since it requires more energy. In this project, a gesture-controlled wheelchair prototype which is a wheelchair that can be controlled by using simple hand movements is developed. The user needs to wear a glove in which the accelerometer sensor is mounted on it. The function of this particular sensor is to detect the hand movement of the hand and it allows the user to move the wheelchair to the desired side by just tilting the sensor to forward, backward, right side, and left side. Additionally, the transmitter system and the receiver system are connected wirelessly through radio frequency waves. This affordable system makes the user's life more comfortable and less dependent on others to move around. The testing results clearly indicated that the prototype worked as desired and was able to achieve the desired movement via the hand gesture. Based on the percent success rate of the prototype system, it should be developed so the unfortunate can own a proper wheelchair that is suitable for them at an affordable price. Lastly, since the system uses only four simple hand movements to operate, thus it is easier to operate or learned by all types of users.
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