Part-Time Wearable Sign Language Recognition Intern- Gowda Group- Department of Computer Science and Engineering

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JOB DESCRIPTION AND POSITION REQUIREMENTS:

Penn State's Department of Computer Science and Engineering is seeking native or fluent ASL signers for participating in a National Science Foundation (NSF) funded project on Sign Language Recognition (SLR) and Translation, with a primary focus on ASL. The technology would use wearable sensor devices such as smart rings, smartwatches, and sensor-embedded earphones for tracking hand, body, and facial motion for ASL recognition. The technology will rely on sensor fusion, machine learning, and natural language processing for performing the translation. Bidirectional communication between an ASL signer and a non-ASL speaker would be integrated into the system. The intern would work with Ph.D. students and faculty at Penn State and Gallaudet to bring their domain expertise in ASL in developing highly accurate technology for ASL ecognition and translation. This would include activities such as stress testing the system, understanding the errors made by the technology as it continues to evolve and providing feedback for improvement, design of a user-study with expert ASL signers for validation, etc.

For more details on the project, please visit:

https://www.nsf.gov/awardsearch/showAward?AWD_ID=2046972

Requirements

• Native or fluent proficiency in ASL
• Background in linguistics is a plus, but not mandatory
• Background in science, technology, and math is a plus, but not mandatory

Duration, Timing, and Other details

• The timing of the internship will be in summer 2022 over a period that overlaps with the

approved summer break at Gallaudet

• The position will be based in State College, PA (home of Penn State main campus)
• Competitive hourly pay
• The role would be supervised by Prof. Mahanth Gowda (Penn State) and Prof. Kenneth

DeHaan (Gallaudet)

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