A technical master’s thesis was discussed in the Technical College of Engineering / Mosul, majoring in Computer Technology Engineering by the student (Osama Khaled Hussein), tagged with “An upper limb based on artificial intelligence to help people with disabilities.”

“Artificial Intelligence Based Upper Limb to Help Persons with Disability”

The Thesis discussed:

1. Types of traditional and modern upper limbs
2. The electrical signals of the upper extremity muscles EMG
3. Employing artificial intelligence in the process of controlling prosthetics

The goal of the message:

1. Use the simplest sensors for a single channel SEMG signal
2. Relying on the understanding of deep learning techniques using a proposed hybrid model 10-CNN-LSTM
3. Recognize the features and patterns of the signal resulting from the movement of the muscles of the upper extremities

The thesis recommended:

The possibility of training the model on new movements to improve its performance, which reached an accuracy of 91.75% by classifying four different movements to control a hand made with 3D printing technology in real-time.

The discussion committee consisted of:

1. Assistant Professor Dr. Muhammad Hazem Younes as Chairman.
2. Assistant Professor Dr. Muhammad Sabah Gerges, as a member.
3. The teacher, Dr. Ahmed Khazal Younes, as a member.
4. Assistant Professor Dr. Abdul Sattar Muhammad Khader, member and supervisor.