PopSignAI is an educational game app that uses sign language recognition, powered by AI, to make learning American Sign Language fun, interactive, and accessible.
PopSign is an educational bubble shooter game that provides a fun and accessible way to learn American Sign Language vocabulary on-the-go!
PopSign is developed by the Georgia Institute of Technology and Center on Access Technology at the National Technical Institute for the Deaf (NTID) and RIT.
Teaching an infant sign language accelerates their language skills, whether they are hearing or deaf.
PopSign is an educational bubble shooter game developed by the Georgia Institute of Technology and RIT/NTID’s Center on Access Technology. The game teaches over 500 American Sign Language (ASL) signs based on the MacArthur-Bates Communicative Development Inventories, which are the first concepts used to teach a language to a child. 95% of deaf infants are born to hearing parents, who often do not know ASL.
PopSign is in beta testing! If you'd like to try it out, we'd love to hear your comments.
If you notice any bugs, please report them through this form.
Or, you could send us an email at popsigngame@gmail.com
PopSignAI is in preview mode (v0.03)!
You can download it here: PopSignAI Preview - Apps on Google Play
PopsignAI combines the gameplay of Popsign with sign language recognition, being developed from over 220,000 total examples of 250 signs collected by the Deaf Professional Arts Network from 47 Deaf signers for whom ASL is their first language. Recognition is supported by Google during a Kaggle machine learning competition that completed in May 2023. See https://www.kaggle.com/competitions/asl-signs
We'd love to hear your comments. Send us an email at popsigngame@gmail.com
95% of deaf infants are born to hearing parents, who often do not know sign.
Without access to naturally occurring language acquisition during their critical language-learning years, these children are at risk for Language Deprivation Syndrome (LDS) which can have serious impact on many aspects of these children's lives, such as relationships, education, and employment. Children with LDS are 3-10x more likely to have mental health issues due to stress from inability to communicate and have a 6-60x increased risk of suicide.
Learn more about language deprivation syndrome and how it affects Deaf children in this video!
Team Lead: Professor Thad Starner
Sign Language Recognition: Pranay Agrawal, Dhruva Bansal, Khushi Bhardwaj, Ishan Chadha, Gururaj Deshpande, Graham Arthur Mackenzie, David Martin, Ganesh Murugappan, Prerna Ravi, Daksh Sehgal, Sahir Shahryar, Matthew So, Rohit Sridhar, and the Kaggle competition team
PopSign Game Development: Madeline Berns, Colby Duke, Ellie Goebel, Brittney Kaye, Jinlan Li (NTID), Smrithi Narayan, Loam Shin (NTID), Rajandeep Singh, Alec Tan, Cheryl Wang, Domino Weir
SignData Pipeline and Quality Assurance: Ananay Gupta, Jocelyn Heath, Unnathi Kumar, Tyler Kwok, Priyanka Mosur, Bill Neubauer, Sofia Vempala
Sign Language Recognition Gesture Toolkit (SLR-GTK): Ananay Gupta, Nick Unnathi, Vinayak
Deaf Professional Arts Network (DPAN): Sean Forbes, Michaela Jitaru, Erin Lafave, Nathan Qualls
National Technical Institute for the Deaf (NTID): Allison Benz, Spencer Montan, Quoc Nhan, Michelle Olson, Xiangyu Shi
Google & Kaggle: Glenn Cameron, Ashley Chow, Phil Culliton, Sohier Dane, Manfred Georg, Sam Sepah, Mark Sherwood, Garett Tanzer, David Tian
Original concept: Celeste Mason
Linguistics, Deaf research, and example video collection: Dr. Harley Hamilton
PopSign Team Alumni: Sreya Atmuri, Bianca Copello, Roshan Desai, Boglarka (Bogi) Ecsedi, Jinghong Peng
Sign recognition PhD dissertations: Helene Brashear and Zahoor Zafrulla
Smartphone tools PhD dissertations: Valerie Summet and Kimberly Xu
In loving memory of Don Schoner, whose support and generosity through the past two decades made PopSign and PopSign AI possible.