The document describes an intelligent bionic hand project led by Dr. Sajid Anwar and Engr. Suleman. A team of 4 students - Riaz Ali, Hassan Mehmood, Mahjabeen, and Habib Ullah Khan - are developing an anthropomorphic and dexterous artificial hand that can perform three motions: grasp, pinch, and victory sign. The team is using SolidWorks for 3D modeling, 3D printing for assembly, Matlab for neural network training, and Arduino/C code to classify and move the hand fingers accordingly based on recorded neural signals from the forearm. The project aims to meet requirements of recording, classifying, and moving the hand based on the

1. Intelligent Bionic Hand
Advisor: Dr. Sajid Anwar
Co-Advisor: Engr. Suleman
MEMBERS:
Riaz Ali(2014301)
Hassan Mehmood(2014120)
Mahjabeen(2014154)
Habib Ullah Khan(2014089)
Faculty of Computer Science and Engineering
Fall- 2017

2. Introduction
 Develop an anthropomorphic and dexterous hand.
 This artificial hand will be interfaced with forearm to perform three type of
motions, which respectively are:
Grasp
Pinch
Victory sign

3. Work
 Documentation (SRS and Design)
 3-D modelling using Solid Works

4. Continue …
 3-D printing and assembling

5. Continue …
Matlab (PC)
 Training neural Network
C code (Arduino)
 Port Trained Network to Arduino

6. Requirements Met
 The system should record
neural activity at forearm
and transmit it to SBC.

7. Requirements Met
 The system should Classify the data
using deep Neural Network
and find appropriate motion
against given data.

8. Requirements Met
 The electric circuit should
move fingers of 3D printed
hand according to type of
hand motion.

9. References
 https://www.frontiersin.org/articles/10.3389/fnbot.2016.00009/full#h8
 https://www.nature.com/articles/nature17435
 http://ninapro.hevs.ch/node/7

10. Questions?
10

11. 11