The document describes a biologically controlled environment system consisting of a wearable wristband device and desktop application. The wristband measures heart rate, motion, and temperature using sensors and transmits the data via BLE. The desktop application receives the signals, calculates user status, and transmits control signals to terminal devices like speakers, lights, and a thermostat to adjust the environment based on the user's condition.
6. Desktop Application
• Graphical User
Interface (GUI)
• Calculate user status
• User settings
• Listen for wearable
device signals
• Transmit control signals
to terminal devices
7. Graphical User Interface
(GUI)
• Created using Microsoft Visual Studio 2013
• Language: C#
• Windows Forms Application
• Responsible For
• Connecting to Input and Output Devices
• Signal Processing
• User State classification
• Setting terminal device control signals
8. GUI (HR Calculations)
• Use (mean + std) to set threshold
• Compare current value to neighbors to identify peak
• Determine if next peak occurs within reasonable time
• Keep running history and display average
9. GUI (Temp and Activity)
• Temperature
• Calculation: (((input/4096)*3.3)-0.5)/0.01 = O
C
• O
F = 1.8 * O
C + 32
• Accelerometer
• Rectify input
• Average of 3 axis
• Use running average to calculate activity state
10. Terminal Devices
• Listen to control signal
• Speaker Volume
• Thermostat Heating/Cooling
• Light Dimmer Light Intensity
11. Terminal Devices - Overview
• Baseline + Offset algorithm
• User settable baseline preference
• System chooses appropriate offset
• Sound Volume
• Computer Controlled Media Volume
• Finds open media application, ‘hijacks’ volume control
• Light Dimmer
• Digital Potentiometer
• SPI Connection
• Opto-Isolator
• Thermostat
• MBED Microcontroller
• Receives an ‘offset’ signal for advanced temperature control
Editor's Notes
To develop a technology that allows users to automatically control their home environment using their biological status
Although in the block diagram shown here, we have the user closing the biofeedback loop, we still need to investigate the relationship between light intensity, sound volume, and temperature on our measurable signals.
