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System and Method for Safe Listening Device with Cognitive Sound Control.

IP.com Disclosure Number: IPCOM000250154D
Publication Date: 2017-Jun-06
Document File: 3 page(s) / 105K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is an audio-based system that compiles data from a number of sources about a user’s cognitive and environmental state, analyzes the data with a machine-learning algorithm, and then provides the user with recommendations and/or alerts to ensure the user’s overall well-being.

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System and Method for Safe Listening Device with Cognitive Sound Control

Abstract

Disclosed is an audio-based system that compiles data from a number of sources about a user’s cognitive and environmental state, analyzes the data with a machine-learning algorithm, and then provides the user with recommendations and/or alerts to ensure the user’s overall well-being.

Audio devices such as headphones, earphones, audio systems, sub woofers, portable speakers, car speakers etc. are used every day by most people. Such systems only serve the functionality of providing audio output and do not take in any input regarding the state and the location of the person who may be using the audio device.

A method and system are needed to create a cognitive listening device that uses data from multiple sources to provide alerts, suggestions, and alter the level of volume.

The novel contribution is a system and method comprising a device for listening to music or speech (e.g., headphones, earphones, car speakers, etc.) and a means for estimating a cognitive feature of a user of said listening device. The system collects and analyzes human cognitive features as well as external environmental and location features to determine the best actions to take or recommend to the user for the user’s overall benefit. For implementation, the device to which the cognitive listening device connects also has applications tailored for the cognitive listening device. The applications may run on a smart phone, a laptop, smart home, a car, or an entertainment system.

The system collects and measures cognitive features in real time (e.g., through biometric sensors, etc.). In addition to sensors on the listening device to detect external noise, the system uses biometric sensors, electronic calendars and schedules, Global Positioning (GPS) systems, access to websites, mobile applications, etc. to collect data. It then compares this information to reaction outcomes of similar actions, performed on similar users, presenting a similar measure of the cognitive feature.

Cognitive features that the system considers include (but are not limited to):  Physical state of the user

- Fatigue - Illness - Drunkenness - Possible side-effects of medications - Sleeping

 Mental state of the user - Excitement - Depression - Anxiety - Distraction

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Location and environmental features that the system considers include (but are not limited to):  Location

- Neighborhood (i.e., known safe, troubled, heavy traffic, etc.) - Home (e.g., safe environment, increase volume; sleeping, turn off music) - Work (e.g., anxious environment, choose soothing music, reduce volume)

 Weather - Temperatures (e.g., extreme heat or cold conditions) - Pending storms (e.g., snow, tornadoes, flood watches, etc.)

 Events - Crime - Crowds (e.g., riots, protests, etc.) - Natural disaster - Emergencies (e.g., fire, traffic accident, etc.)

Based on analysis of the features and inferences it makes based on environmental and bi...