Artificial intelligence machine learning

Emotion in Artificial Intelligence
By : Rajan Aryal
rajanaryal.com.np


Content:
1. Emotion in AI
2. AI Detect Emotion
3. Application of AI with emotion

AI understand human emotions?
 Humanoid robot is Combination of
a. hardware
b. software ( algorithm + Program )
 Reading is not same as understanding;
 No emotional robots, for now, that understand human emotions;
 AI have programmed algorithms
→ follow the instructions
→ detect emotion;
→ show behavior like human ;

How AI can Detect emotion?
1. Text
2. Speech
3. Body language/movement
4. Images/Videos


1.Text

 To analyze sentiment from text use lexicon-based model;
 Lexicon-based check
a . polarity => good or bad;
b . Strength => how good or how bad;

 Analyzed text is positive, neutral or negative;

 Example: Chabot;
For Example visit this siteliwc.wpengine.com




2.Speech
 Trained robot and store examples on knowledge base;
 Dialogue systems
1.sense words and reason;
2. compare and understand words;
3.respond ; Speaker recognition:
→ recognize who is speaking by voice in bank ,
locker;


3.Body language/movement

 Able to interact with humans and recognize a emotion by body language;

1.Hand gesture

→Use various gesture by hands;

→Gesture is non verbal ,sigh language
Example : Ok sigh , Thumb for Best of luck sigh , Index finger for warning , Baby finger for short toilet ,Salute;


2.Facial Expression

→Motion of muscle

→Eyes

→Mouth



4.Images/videos

 Recognize emotions from images and videos;

 Take an image as an input,

a. Take facial expression of people;

b. detect emotion;

 The emotions In Video

a. recognizes the facial expressions of people;

b. analyze faces and detecting motion;

 Example: Facebook

 => AI Is Now Automatically Writing Photo Captions, Microsoft tools

=> Happy?Sad? Angry?




Example:



Application of AI with emotion
1. Medical
2. Law
3. Education
4. Entertainment


1.Medical

A . Counseling

→’patient’s emotional state and feelings about treatment;


B . Rehabilitation

→ help monitoring, Generating alerts and reminders;


C . Treatment

→ accurate diagnostics, surgical, Identifying symptoms of tumors and cancer;


2.Law

1.Smarter Court

→ courts takes big data , computing ,analyzed and machine producing judgement just like human beings;


2.Polygraph

→ Lie detector;


3.Detect criminal at busy area

→ Human unable to look huge people and analyze computer analyze huge data and gave result;






3.Education

 To teach kids

→ Robots can capture a child imagination like no other tools not even human;


Example :NAO Robot , Lego Mindstorms, Vex Robotics , Sphero Balls , Milo Robots;


 Virtually Presence in Class

Example . VGO Robot (as Student) Telepresence Robot(as teacher)

 Other Robots: Pepper , Tiro , IROBI , Robovie ;



4. Entertainment

 Tools

→ voice-based search technologies ;

Example: Siri , Cortana , Ok Google ,Alexa;




 User-Friendly

→Speaking the viewer’s language;




Disadvantages/Challenges

1. impossible to predict;

2. Cannot make a creative response as human;

3. Lack of common sense in some decision making;

4. The error may occur in the knowledge base and lead to a wrong decision;

5. Cannot adopt changing environment;

6. virtually ‘feel’ senses such as pleasure and pain so not exact;

7. Ambiguous ;