Perceptually Adaptive Alarm Systems Using Doppler-Based Pitch Modulation

This technical note presents a novel alarm system design that uses Doppler-based pitch and amplitude modulation to help people better understand emergency situations through sound alone. By embedding intuitive rising and falling pitch cues into familiar alarm tones, the system conveys urgency, direction, and safety — even through walls, smoke, or in unfamiliar environments. It is designed to support everyone, including those with hearing or visual impairments, and works alongside existing fire, hospital, or building alarms without needing new hardware. The system adapts to real-time sensor data (e.g. heat, smoke, gas), allowing alarms to reflect the severity and location of danger. It also includes digital watermarking so each alarm tone carries a unique identity that can be decoded remotely, such as through a phone microphone. This document shares the design openly to establish prior art, prevent enclosure, and support inclusive safety innovation in public and private spaces.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-26
DOI
https://doi.org/10.5281/zenodo.15515622
Primary Topic
Healthcare Technology and Patient Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

Perceptually Adaptive Alarm Systems Using Doppler-Based Pitch Modulation

Zenodo (CERN European Organization for Nuclear Research)
Healthcare Technology and Patient Monitoring
article

Perceptually Adaptive Alarm Systems Using Doppler-Based Pitch Modulation

article en

Abstract

This technical note presents a novel alarm system design that uses Doppler-based pitch and amplitude modulation to help people better understand emergency situations through sound alone. By embedding intuitive rising and falling pitch cues into familiar alarm tones, the system conveys urgency, direction, and safety — even through walls, smoke, or in unfamiliar environments. It is designed to support everyone, including those with hearing or visual impairments, and works alongside existing fire, hospital, or building alarms without needing new hardware. The system adapts to real-time sensor data (e.g. heat, smoke, gas), allowing alarms to reflect the severity and location of danger. It also includes digital watermarking so each alarm tone carries a unique identity that can be decoded remotely, such as through a phone microphone. This document shares the design openly to establish prior art, prevent enclosure, and support inclusive safety innovation in public and private spaces.

Zenodo (CERN European Organization for Nuclear Research)
Edinburgh Napier University (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Healthcare Technology and Patient Monitoring
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