Cover Image

An Efficient Indoor Navigation Technique To Find Optimal Route For Blinds Using QR Codes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Idrees, Affan, Iqbal, Zahid, Ishfaq, Maria
Format:	Preprint
Published:	2020
Subjects:	Human-Computer Interaction Computers and Society Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhanced Accessibility for Mobile Indoor Navigation
by: Wortmann, Johannes, et al.
Published: (2026)

Using Artificial Intelligence to Improve Classroom Learning Experience
by: Hossain, Shadeeb
Published: (2025)

HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation
by: Bethge, David, et al.
Published: (2024)

A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach
by: Ahmed, Md Sabbir, et al.
Published: (2025)

How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies
by: Ran, Zihe, et al.
Published: (2025)

iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
by: Swamy, Vinitra, et al.
Published: (2024)

Designing Decision Support Systems Using Counterfactual Prediction Sets
by: Straitouri, Eleni, et al.
Published: (2023)

Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information
by: Romero, Oscar, et al.
Published: (2026)

Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?
by: Borchers, Conrad, et al.
Published: (2026)

XInsight: Integrative Stage-Consistent Psychological Counseling Support Agents for Digital Well-Being
by: Wang, Fei, et al.
Published: (2026)

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
by: Donahue, Kate, et al.
Published: (2023)

Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System
by: Avvenuti, Marco, et al.
Published: (2019)

Towards Standardizing AI Bias Exploration
by: Krasanakis, Emmanouil, et al.
Published: (2024)

Datasheets for Machine Learning Sensors
by: Stewart, Matthew, et al.
Published: (2023)

An Explainable and Fair AI Tool for PCOS Risk Assessment: Calibration, Subgroup Equity, and Interactive Clinical Deployment
by: Khan, Asma Sadia, et al.
Published: (2025)

Beyond Predictive Algorithms in Child Welfare
by: Moon, Erina Seh-Young, et al.
Published: (2024)

Behavior Matters: An Alternative Perspective on Promoting Responsible Data Science
by: Dong, Ziwei, et al.
Published: (2024)

Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data
by: Gao, Ge, et al.
Published: (2024)

Nirvana AI Governance: How AI Policymaking Is Committing Three Old Fallacies
by: Zhang, Jiawei
Published: (2024)

Warmth and competence in human-agent cooperation
by: McKee, Kevin R., et al.
Published: (2022)

Emoji Promotes Developer Participation and Issue Resolution on GitHub
by: Zhou, Yuhang, et al.
Published: (2023)

Scaffolding Collaborative Learning in STEM: A Two-Year Evaluation of a Tool-Integrated Project-Based Methodology
by: Fuster-Barcelo, Caterina, et al.
Published: (2025)

Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users
by: Phuong, Thuy Pham Thi, et al.
Published: (2026)

Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
by: Wu, Dongrui, et al.
Published: (2021)

Red-Teaming for Generative AI: Silver Bullet or Security Theater?
by: Feffer, Michael, et al.
Published: (2024)

Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework
by: Chatzimparmpas, Angelos, et al.
Published: (2024)

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection
by: Salles, Isadora, et al.
Published: (2024)

The Balancing Act of Policies in Developing Machine Learning Explanations
by: Tjaden, Jacob
Published: (2025)

Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks
by: Guerdan, Luke, et al.
Published: (2025)

Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework
by: Alur, Rohan, et al.
Published: (2024)

On the Pros and Cons of Active Learning for Moral Preference Elicitation
by: Keswani, Vijay, et al.
Published: (2024)

Exploring Student Expectations and Confidence in Learning Analytics
by: Asatryan, Hayk, et al.
Published: (2026)

Fairness-Aware Few-Shot Learning for Audio-Visual Stress Detection
by: Shelke, Anushka Sanjay, et al.
Published: (2025)

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
by: Sargeant, Holli, et al.
Published: (2025)

VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights
by: Patel, Zeel B, et al.
Published: (2024)

Human-Aligned Calibration for AI-Assisted Decision Making
by: Benz, Nina L. Corvelo, et al.
Published: (2023)

Intrinsic User-Centric Interpretability through Global Mixture of Experts
by: Swamy, Vinitra, et al.
Published: (2024)

Towards Human-AI Complementarity with Prediction Sets
by: De Toni, Giovanni, et al.
Published: (2024)

"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students
by: Agarwal, Vibhor, et al.
Published: (2024)

Validating LLM-as-a-Judge Systems under Rating Indeterminacy
by: Guerdan, Luke, et al.
Published: (2025)