Indoor Sounds Mapped for Auditory Wayfinding Research

Eva Nuhn created the Indoor Sounds dataset for the AGIT paper "Mapping Indoor Sounds as Potential Landmarks for Auditory Wayfinding." It contains systematically mapped indoor sound recordings and classifications collected across university campus buildings. The dataset supports research on auditory landmarks and their potential use in indoor navigation and wayfinding systems.

Use Cases

• Training models to classify indoor auditory landmarks based on recorded sounds.
• Analyzing the spatial distribution of potential sound landmarks across university buildings.
• Developing audio-based indoor navigation systems based on mapped sound data.

Strengths

• Dataset is specifically created for a published academic paper (AGIT).
• Sound recordings are systematically mapped across multiple campus buildings.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Dataset size is only 9.9 KB, indicating a very limited scope or number of recordings.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Eva Nuhn via figshare.

Collection Method

Systematically mapped indoor sound recordings and classifications collected across university campus buildings.

Freshness

Last updated 2026-05-13 09:06:56; freshness should be verified.

Geography

University campus buildings.