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DISCUSS: Overlaying a webcam feed with a grid resembling an extended, more complex Guitar Hero-style interface, where approaching objects on a sidewalk (e.g., cracks, obstacles, people) that are represented as a sequence of "notes" to be translated into audio cues for a visually impaired user in the AcoustSee project, is a way to conceptualize the photon-to-phonon transformation. This approach the real-time navigation task, mapping visual objects to auditory sequences in a structured, intuitive way. Let’s explore how this could work, tying it to our previous discussions on audio frames (45–66ms), OpenCV’s real-time feasibility, and human auditory resolution, while addressing implementation on mobile phone hardware for a blind user. Guitar Hero-style grid overlay for AcoustSee translates sidewalk objects (e.g., cracks, walls, people) into a scrolling sequence of audio “notes” using a computational grid: Mapping: Objects: Spectral signatures (e.g., crack = 2000 Hz click, person = 200–2000 Hz hum). Depth: Volume (louder closer) and timing (cues trigger at strike zone). Audio output: 3–6 cues per 66ms frame, spaced ~5–10ms, aligning with auditory resolution (3–12 notes in 66ms). |
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TOPICS: The physics of sound, human auditory perception, and music theory.
CONSTRAINTS: Given a 45ms time frame, the frequency range of 20 Hz to 20 kHz, and the role of tempo.
Example question: in a sequential approach, how short the notes could be due to a human coherent resolution?
The shortest note duration for coherent perception in a sequential approach is ~5–10 ms for mid-to-high frequencies, allowing 4–9 notes without gaps or 3–6 notes with small gaps (2 ms) in a 45ms frame. Lower frequencies require longer durations (20–40 ms), reducing the count to 1–2 notes.
MORE:
https://github.com/MAMware/acoustsee/blob/developing/docs/RESEARCH.md
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