AI: Home Automation Patricio Ricaud A01192626 Oscar Romero A01192355 Mauricio Diaz A01192389

Routine Recognition

Humans are noted to having well organized routines or patterns in their lives. It is then easy to assume that these routines could be hardwired into code so that they could be memorized or applied by an algorithm.

Routine Recognition In a smart home, or a living place with an intelligent and learning

algorithm, it is possible to record and learn from certain routines a person may have such as:

•  A morning routine: The smart home can prepare things such as alarms, coffee, breakfasts.

•  Afternoon routine: The home will detect when you arrive home, will prepare any activities you have planned, such as meals, showers, reminders of future plan, such as work or hobbies.

•  Night routine: Reminder of nightly activities such as brushing your teeth or even setting up a channel you want to watch on TV or a form of entertainment.

The home does this with a supervised approach, meaning that it monitors when the person enters or leaves a room, turns on a light or a device, or made automatically by time.

Person Recognition Person recognition involves identifying a person or a characteristic of a human through a frame often featuring facial structures. This can be known as biometrics, or the recognition of humans through their traits.At the moment it is common for this type of technology to be present through security systems such as fingerprint or iris recognitions. This, though, can be taken to another level in order to recognize someone not only for security reasons, but for household reasons. Full facial recognition is not something new in the present, as it can be seen used in Facebook while tagging pictures of others, or while using Kinect in your XBOX.

Person Recognition •  Taken a step further, person recognition can be

able to determine a person from a still frame of his body or given a video of his or her body language. It can help tremendously as the “mind” of the house can learn likes and dislikes of recursive persons of this home and know if they like a cold room or a hot one. It can also detect new people, that if accompanied by the owner pose no threat, but if they enter alone the home knows it is an uninvited stranger.

•  Together with routine recognition, a smart house would be able to deduce the activity that the person wants to perform. For example, if the owner of the house enters the kitchen at 8:00 P.M. the smart house can know that he is going to cook dinner, so it can start preparing the oven, stove or other kind of appliances.

Person Recognition

•  Another use can be in the energy saving department, since the house can turn on and off air conditioning in rooms it knows it is most needed. If the owner leaves his bedroom after his morning routine the house can know that it can safely shut down the air conditioning in that room. If it is late in the evening and the owner steps into the living room, the house can assume this person will watch TV or stay there for a relatively long time, so it can turn on the AC to the appropriate temperature.

Voice Control

•  Tech to control home automation with voice.

•  Current examples: VoicePod, Tasker+VeraLite, enBlink.

•  Now: mobile device as the medium. •  Future: no mobile device (ex. Moto X)

CS Behind Voice Control

•  Natural Language Processing •  Attempt to understand language through

probability. •  Example: ‘I ate cherry’ vs. ‘Eye eight Jerry’

o  Uses context to understand.

•  Language Modeling: N-Grams •  Vector Space Model

Nest thermostat

•  Programmable and self-learning thermostat

•  After being set for certain temperatures at certain times o  The thermostat starts adjusting

itself o  Develops a temperature schedule

Intelligence in Nest Thermostat •  Records an Away temperature

o  Records variations made by the user during the day

o  After a couple of days an algorithm develops a schedule based on user preferences

•  Ability to be modified from mobile devices o  Via the internet the thermostat can be

modified o  Stores energy usage so the user can have

access to it o  Modifies its schedule and behavior in order

to conserve energy and reduce electricity bills

Intelligence in Cleaning Robots •  Ex: iRobot, Infinuvo, Hom-bot •  Computer Vision

o  Localization o  To understand surroundings

•  Search o  Cost function o  Most efficient path o  Decision making

•  Particle filters

ASIMO

•  Advanced Step in Innovative MObility

•  Designed to resemble humans and help them in their tasks

•  Functions o  Hand and Arm mobility with 34 degrees of

freedom o  Ability to carry trays o  Ability to push carts o  Human recognition

Intelligence in ASIMO •  Learns constantly from his

environment o  Capable of choosing the best route

to a point o  Avoid movable and static obstacles

•  Facial recognition and voice recognition o  Personalized interactions with

different people

•  Identify unknown sounds and turn towards the source of sound o  Take decisions of action concerning

this possible threat

Uses for ASIMO

•  Dangerous jobs for humans o  Dealing with toxic materials

•  Helping in hospitals o  Its ability to carry trays, and facial recognition allow him to

take medicines or other objects to specific patients. o  Also could push around wheelchairs without crashing and

deciding the best route to follow.

•  Home help o  This humanoid can perform human daily chores

The Future for ASIMO

•  Honda is looking forward to develop its intelligence even further o  Ability to make judgements when confronted with a

given situations §  Could take a good or bad choice

•  Implications of bad choices could be great, given he is dealing with humans o  i.e. If a medicine ends he could give more importance

to administering a medicine than administering the RIGHT medicine §  Fatal consequences

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