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System and Method for Cognitive Alerting for Hearables Disclosure Number: IPCOM000250103D
Publication Date: 2017-Jun-01
Document File: 6 page(s) / 102K

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The Prior Art Database

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TITLE: System and Method for Cognitive Alerting for Hearables Abstract for this article

System and Method for Cognitive Alerting for Hearables containing a cognitive analyzer and the corresponded knowledge graph (DB) in a mobile device to collect information from a set of per- determined personal and public sources which uses a natural language processor to incorporate information in spoke language and transmit verbal information to the user.


“Hearables” are wireless headphones with built in microphones that are worn through-out the day – not

just when listening to music or making phone calls. They typically communicate with hub computer

system such as a smartphone which provide long-range wireless networking services. Hearables have

both speakers and a microphone so they can present sound (e.g. music or spoken words) to the user as

well as accept voice input. Using speakers and microphone in tandem, hearables can facilitate a phone

conversation. With processing power provided by the wirelessly linked computer / smartphone hearables

can provide more advanced audio abilities such as noise cancellation and speech amplification. Further,

with the use of intelligent assistants hearables can be used to give voice commands to a computer or

receive short text updates (e.g. reading a text or e-mail aloud to a user). During work or during travel

typical users are overloaded with information. This proposed system helps the user to focus the essential

information. The problem statement is

• Travelling user are easily overloaded with information, automated selection process is missing

• Events impacting users are noticed too late

• Concentration of participants in phone conferences lessens over time leading to miss out on important points and eventually questions directed to the participant


Subject of this proposed system is to provide the following services.

• Alerting services

• Information aggregation services

• Contextual translation services

The services are provided in a way which is specifically adopted for the user. The personalization is

continuously improving and changing when the user’s needs and behaviors are changing.

The proposed system uses a multitude of sources and self-learning cognitive engine to combine

information. Over time the services are more and more adopted to the needs of the user by receiving user

feedback – both implicit and explicit.

Figure 1: Context of the proposed system

The proposed system is implemented on a portable electronic device linked to a hearable.

The sources can be categorized in three groups:

1. Personal information of the user, e.g. any form of electronically stored communication, calendar and itinerary

2. Audio streams including a. Personal audio from a conversation or a phone call b. Broadcast audio like radio (e.g. traffic announcements), TV (e.g. news), and

announcements in places like an airport or a station 3. Data streams including

a. Data streams over the internet b. GPS location...