Sensor on glasses
Download
1 / 20

Sensor on glasses - PowerPoint PPT Presentation


  • 108 Views
  • Uploaded on

Sensor on glasses. Characterization Presentation Part 1 - Winter 2012. Performed by: Danielle Perez Shuki Eizner Instructor: Alexander Kinko Duration: 2 Semesters. Table Of Contents. Introduction Project’s Goals Project’s Overview (Semester A)

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Sensor on glasses' - malina


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Sensor on glasses
Sensor on glasses

Characterization Presentation

Part 1 - Winter 2012

Performed by: Danielle Perez

ShukiEizner

Instructor: Alexander Kinko

Duration: 2 Semesters


Table of contents
Table Of Contents

  • Introduction

  • Project’s Goals

  • Project’s Overview (Semester A)

  • Project’s Overview (Semester B)

  • Analog waves- Temporary solution

  • Project’s Basic Block Diagram

  • Suggested eyelid movement Flow Detection

  • Project’s Implementation

  • Estimated Timeline


Introduction
Introduction

Neuro-ophthalmologists and eyelid surgeons analyze lid motility for assessing ptosis, third and seventh nerve palsy, myasthenia gravis, Graves’s disease, and Parinaud’s syndrome. Currently, mainly static measurements of the lid fissure and levator action (amplitude) are done routinely.

Many different techniques have been used to measure the time course of blinks using coils, camera, lever arm and photosensitive position detector, but no clinical tool is widely available.


Project s basic concept
Project’s Basic Concept

Patient

Doctor

Eyelid Movement Sensor

Device (EMSD)

PC Application

(Doctor’s workspace)

Results of analysis


Project s goals
Project’s Goals

Develop a portable, low-power system that will check the eyelid movements and analyze the results.

  • The system will check only the eyelid movements without any consideration in the eyeball movement


Goals functional characterization
Goals-functional Characterization

The system has the following features:

  • Portable system

  • Enables better tracking of the blinks by storing data, describing specific eyelid movement which include:

    • Starting and ending time (10-15 minutes each test)

    • Velocity

    • Frequency

    • Position

  • Have the ability to analyze each eye separately.


Goals functional characterization continuation
Goals-functional Characterization(continuation)

  • Creating a unique set of software both for PC and EMSD, which enables performing of the following tasks:

    • Downloading data from portable device.

    • Operating EMSD in the real-time mode (RT-mode).

    • Performing of the data processing on downloaded data and displaying the appropriate statistics on PC (Offline-mode).

    • Creating database and storing it for the further inspection by the doctor.


Project s goals technological
Project’s Goals- Technological

  • Precondition- the ability to create glasses with a sensors that provides the analogue signal.

  • Temporary solution- working with synthetic waves.

  • Physical dimensions of the EMSD suitable for the glasses handles.

  • Recognition of a eyelid movements from a specific range of frequencies (1Hz-50 Hz).

  • Storing of the parameters describing eyelid movement in the non-volatile on-device memory.


Project s goals technological1
Project’s Goals- Technological

  • Ability to store the parameters for 10 measurements each measurement takes 10-15 minutes

  • The start of each measurement controlled by the patient.

  • Ability to synchronize the two identical chips with external time reference source (pc)

  • Low-power rechargeable battery sustainable for an entire day.

  • Alert for “low-battery” state.

  • Interconnection to PC for performing extended data processing and better tracking as well as real-time mode.


Project s overview semester a
Project’s Overview (semester A)

  • Choosing components for the project, suitable for low-power

    applications.

  • Designing the power part of the project (battery recharge and power

    management).

  • Designing a digital part of the project (MCU, memory, etc.).

  • Drawing the schematics and performing layout for the EMSD.


Project s overview semester a continuation
Project’s Overview (semester A continuation)

  • Manufacturing and assembling of the PCB.

  • Performing basic debug (includes using low-level software drivers).

    In parallel :

  • Creating analogue waves that demonstrate the real analogue signal.

  • Checking the signals by running simulations

  • Semester A destination: having a completed PCB


Project s overview semester b
Project’s Overview (semester B)

  • Full debug of the EMSD’s hardware.

  • Designing software for embedded hardware of the EMSD that includes

    recognition of the required blinks and storing the basic parameters on

    the EMSD’s memory.

  • Designing a unique high-level software for PC, that enables

    communication with EMSD, creating the database, performing various

    graphs and storing the database for further inspection by physician.

  • Validation/characterization of the system and performing S.U.T.

    (System Under Test) procedure.


Analog waves temporary solution
Analog waves- Temporary solution


Analog waves temporary solution continuation
Analog waves- Temporary solution (continuation)




Project s basic block diagram
Project’s Basic Block Diagram

User Interface

User

Control

LED

Analogue sensor

Controller

Coils

&

magnet

LED

Control

Data

\6

Pre - AMP

PC

mux

Eyelid movement

Detection

A/D

Comm.

Control

USB

Memory

Control

Internal

Memory

RTCC

EEPROM

Micro-SD

(optionally)

Power controller

DC/DC


Suggested eyelid movement Flow Detection

Start

Sample

Data

Digital

B.P.F.

Store eyelid movements

parameters

in the EMSD’s memory

PC-analyze data




ad