Naomi Caselli

schoolBoston Universitybar_chart#7976 Global Rank

Total Papers

HCI Rank

#7976

Research Areas

Years Active

Recent Publications

Exploring Collection of Sign Language Videos through Crowdsourcing

Inadequate sign language data currently impedes advancement of sign language ML and AI. Training on existing datasets results in limited models due to small size, and lack of diverse signers in real-world settings. Complex labeling problems in particular often limit scale. In this work, we explore the potential for cr…

CHI '212nd AuthorHonorable MentionHaptic Wearables +1

ASL Sea Battle: Gamifying Sign Language Data Collection

The development of accurate machine learning models for sign languages like American Sign Language (ASL) has the potential to break down communication barriers for deaf signers. However, to date, no such models have been robust enough for real-world use. The primary barrier to enabling real-world applications is the l…

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