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Human-Operator Monitoring System

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Presentation on theme: "Human-Operator Monitoring System"— Presentation transcript:

1 Human-Operator Monitoring System
- Linda J

2 Motivation Human error - a frequent reason of catastrophes and ecological disasters Temporal indisposition Weariness oversight Monitoring of conscious brain involvement Capable sensors available Lack of complex solution exploiting wireless link technology, database systems and AI algorithms Linda Emotion Detection

3 How to achieve Emotion Detection in Computer Systems?
Biometrics Techniques like 1) EYE GAZE Tracking 2) Emotion Mouse 3) Facial Expression Detection 4) Artificial Intelligent Speech Recognition These techniques combined to give The BLUEEYES Technology Linda Emotion Detection

4 What is BlueEyes ? What is BlueEyes not?
The complex solution for human-operator monitoring: conscious brain involvement monitoring triggering user-defined actions data recording What is BlueEyes not? Doesn’t predict nor interfere with operator’s thoughts Cannot force directly the operator to work Linda Emotion Detection

5 BlueEyes is for ? Generic control rooms Power station Captain bridge
Flight control centers Operating theatres – anesthesiologists Common application A simpler system version for drivers Linda Emotion Detection

6 BlueEyes - benefits Prevention from dangerous incidents
Minimization of ecological consequences financial loss a threat to a human life The reconstruction of the course of operator’s work Linda Emotion Detection

7 Face Recognition Consists of two steps : 1) Face recognition
2) Expression Detection Of these, Expression Detection plays role Expression glasses measures the movement of face muscles. The movmt. is then compared with reference index to judge the emotion. Linda Emotion Detection

8 Speech Recognition Speech’ processed by complex voice processing algorithms. Speech signal ==> set of words (voice prints). voice prints(vp) generated - compared with reference index of vp corresponding to emotions. The tone of the voice’s given priority. Thus, emotion identified. Linda Emotion Detection

9 Emotion Mouse A non-invasive way to judge emotion is through “Touch”.
Human touch – got by a mouse, having sensors on it. The physiological attributes are then correlated to emotions using some models. IR sensor – heart beat from the finger tips. thermosister chips- body temperatures. Linda Emotion Detection

10 Eye Gaze Tracking Saccades presence  User conscious
Retina - central vision (macula) Central vision and the conscious brain Saccade - a rapid eye jump to a new location which directly give indication abt visual attention. Saccades presence  User conscious Linda Emotion Detection

11 The eye movement sensor
Eye position measuring - direct infrared oculography Oxy- and deoxyhemoglobin measurment Two axial accelerometer Ambient light sensor Jazz Multisensor Linda Emotion Detection

12 Wires, wires, wires... A serious limitation of: mobility comfort
safety Linda Emotion Detection

13 Personal Area Network ! Solution: A wireless Personal Area Network
Linda Emotion Detection

14 Design objectives A mobile data acquisition device
A reliable real-time buffering, processing and recording A clear visualization interface Mechanisms for creating custom data analyzers To ensure a possibility of distributing the processing among a number of computers Linda Emotion Detection

15 System overview Data Acquisition Unit Central System Unit Bluetooth Bluetooth technology provides means for creating a Personal Area Network linking the operators and the central system. Connection Manager Visualization Module Atmel 89C52 microcontroller Data Analysis Data Logger Jazz Multisensor Linda Emotion Detection

16 DAU - features Lightweight Runs on batteries - low power consumption
Data Acquisition Unit Lightweight Runs on batteries - low power consumption Easy to use - does not disturb the operator working ID cards for operator authorization Voice transmission using hardware PCM codec Atmel 89C52 microcontroller Bluetooth Jazz Multisensor Linda Emotion Detection

17 CSU - features Connection management Data processing Visualization
Central System Unit Connection management Data processing Visualization Data recording Connection Manager Connection Manager Visualization Module Bluetooth Data Analysis Data Logger Access verification System maintenance Linda Emotion Detection

18 CSU - saccade detector Saccade detector and conscious brain involvement level calculation Raw eye movement data saccade Differentiation Conscious brain involvement level Linda Emotion Detection

19 CSU - Visualization Module
Raw and processed data visualization using: VU-meters pie-charts time series audio and video data playback Linda Emotion Detection

20 Implementation - DAU Microcontroller board PCM codec board
Batteries and voltage level monitor Microcontroller board Bluetooth module PCM codec board Linda Emotion Detection

21 Human-Operator Monitoring System
System demonstration Linda Emotion Detection

22 DAU - components Atmel 89C52 microcontroller Bluetooth module BlueEyes
Data Acquisition Unit microphone earphone MC PCM codec Atmel 89C52 microcontroller Bluetooth module Jazz Multisensor Beeper UART LCD display MAX232 UART LED indicators ID card interface ID card Simple keyboard Linda Emotion Detection

23 Thank you for your attention
- Linda J Linda Emotion Detection


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