Our A.I. team is dedicated to the research, development, and implementation of Deep Learning-based methods for gesture classification and prediction. With the novel techniques they implement, our A.I. team allows us to reduce the time from signal detection to model prediction. This gives our wearable the ability to incorporate the seamless functionality needed when implemented on prosthetic devices and Virtual Reality environments.
M.S. Electrical and Computer Engineering
(Class of 2023)
B.S. Electrical and Computer Engineering
(Class of 2022)
M.S. Applied Urban Science and Informatics
(Class of 2022)
B.S. Computer Engineering
(Class of 2026)
B.S. Computer and Electrical Engineering
(Class of 2026)
M.S. Biomedical Engineering
(Class of 2024)
Our Mechanical team is responsible for the design and fabrication of the overall structure of the wearable device. They create 3D CAD models to 3D print the wearable's mechanical components and ensure the wearable's robust assembly for reliability in testing and end-use. With a holistic understanding of the electromechanical components, production materials, and fabrication methods, they build the foundations for the wearable to be functional, reproducible, and usable.
B.S. Mechanical Engineering
(Class of 2023)
B.S. Computer Science
(Class of 2026)
Our Electrical team is responsible for the research, implementation, and testing of all electronic components. They dive deep into the theoretical workings and practical applications of all the electronic components and ensure their proper integration into the wearable device. Corollary to this, they design the electrical schematics, program the components and produce the circuit boards that allow the wearable to function. They work with all teams. With a holistic understanding of the wearable's hardware and software needs, they are the beating heart of the wearable device.
B.S. Electrical Engineering
(Class of 2023)
B.S. Interactive Media Arts
(Class of 2024)
M.S. Mechatronics and Robotics
(Class of 2024)
M.S. Mechatronics and Robotics
(Class of 2024)
Our Wireless team is the middleman between the AI team and the Hardware teams. They research, implement, and test wireless communication protocols to give the wearable wireless capability. This wireless capability allows the wearable to seamlessly integrate with machine learning models and to AR/VR environments as controllers. With a complete understanding of the electrical components of the wearable, they work closely with the Electrical team to ensure accurate and efficient implementation of wireless protocols.
B.S. Computer Engineering
(Class of 2023)
Our Software Team is responsible for the intuitive and seamless interaction of the user and our technology, as well as the integration of our devices to the virtual world. They elevate our work for it to be accessible and convenient. With a strong understanding of applying design to technology, they work with the AI team and the Wireless team to package our technology.
B.S. Integrated Design & Media
(Class of 2023)
M.S. Computer Science
(Class of 2023)
B.S. Computer Science
(Class of 2026)
B.S. Computer Science
(Class of 2024)
Ahmed Benkraouda
Shucong Zhou
Tazwar Belal
William Chimbay
Gayatri Tyagi
Nia Asemota
Sarah Lamond
Ben Liang
Rifat Roufe
Basma Jamal
Jack Shkifati
Murtaza Fatepurwala