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October 20, 2025Open Access

Exploring Object Status Recognition for Recipe Progress Tracking in Non-Visual Cooking

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Authors

FLFranklin Mingzhe LiKNKaitlyn NgBZBin Zhu

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Overview

Pipeline OSCAR improves recipe progress tracking in individuals with vision impairments, suggesting enhanced cooking support.

Key Points

  • Object status recognition significantly improves recipe step prediction accuracy for non-visual cooking.
  • Evaluation on 173 instructional videos and a dataset of 12 non-visual cooking sessions indicated tangible enhancements.
  • OSCAR integrates various methodologies including recipe parsing and object status extraction for real-time tracking.
  • Findings highlight critical factors influencing performance, like implicit tasks and environmental conditions.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68f5fcdc8d54a28a75cf24b8https://doi.org/10.48550/arxiv.2507.03330
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Contextual Inquiry of People with Vision Impairments in Cooking2024 · 20 citations
  2. 2A Recipe for Success? Exploring Strategies for Improving Non-Visual Access to Cooking Instructions2024 · 4 citations
  3. 3Continuous Object State Recognition for Cooking Robots Using Pre-Trained Vision-Language Models and Black-Box Optimization2024 · 6 citations
  4. 4CookAR: Affordance Augmentations in Wearable AR to Support Kitchen Tool Interactions for People with Low Vision2024
  5. 5AROMA: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multimodal Information Between Reality and Videos2025