Browse Prior Art Database

Method and System for Creating an Ideal Environment for Feeding using an IoT Baby Bottle

IP.com Disclosure Number: IPCOM000248938D
Publication Date: 2017-Jan-23
Document File: 7 page(s) / 584K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for creating an ideal environment for feeding using an IoT baby bottle. The method and system controls devices in a home that are connected to the IoT (Internet of Things) baby bottle to create a calm and ideal environment for feeding and nourishing a baby.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 42% of the total text.

1

Method and System for Creating an Ideal Environment for Feeding using an IoT Baby Bottle

BACKGROUND:

It is clinically proven that different environmental factors like sound, light, distractions, temperature, etc.

aid the intent of creating the proper mood of a baby feeding environment. Taking into account of these

factors, the users usually try to their best to apply the prior knowledge of the reaction of the baby to

create the most suitable environment. Our invention proposes an IoT enabled baby bottle to support this

intention.

SUMMARY:

• An IoT enabled baby bottle contains different types of sensors to capture and monitor different

types of reactions of the baby before, during and after feeding time;

• The bottle is connected to other smart environmental devices in the home and can access the

status of those environmental parameters;

• The bottle auto learns the correlation between different types of baby reactions and the status of

those environmental parameters;

• The list of baby reactions to monitor could be as follows: how playful the baby is, how quickly

the baby falls asleep, how long the baby sleeps, how much cranky the baby is, etc. On the other

hand, the list of environmental parameter could be as follows: temperature, music, light, sound,

season of the year, time of the day, etc. For baby A, the bottle will monitor both as mentioned

above and learn the correlation. For example: Baby A falls asleep within 10 minutes after having

the milk, if the light of the room is darker, temperature is moderate and any song of Lullabies by

Barney is being played in the room. Whereas, baby A is more on a playful mood after having the

milk, if the room is filled with natural daylight, temperature is hot and any Nursery Rhymes is

being played in the room.

• With time, the bottle will keep continuing monitoring the correlations and adjust the settings in

real-time. For example: if the system monitors that the baby A is getting more quiet sleep with no

music being played at all, it will feed the learning model to turn off the music from later on.

• Based on the learning model, the bottle can control all the connected smart environmental

devices in the home to make the most suitable feeding environment for the baby;

• Apart from the personalised control mechanism, a cloud based server captures data from all the

baby bottles and generates a prediction module to predict the best possible environmental

settings for a given baby information. Therefore, if a particular baby bottle fails to determine the

best possible environmental settings in response to an unknown state of the respective baby, it

can contact the cloud based prediction module for probable recommendation. Babies who show

similar reactions to similar environmental settings, can be predicted to act similarly to an

unknown situation as well. For example: baby A and B both fall asleep within 10 minutes after

having the milk, if the light of the room is darker and temperature is moderate. No...