Manisa Project is a composite of the following:
1. Input mechanism:
1.1. Magnetic Field Detection
1.2. Positioning
2. Data Analtysis and Grouping
3. Output system: Floor visualization
1. Input Mechanism
1.1. Magnetic Field Detection:
Magnetic Field Detection is achieved by the designed magnetic sensor (the miniature B-Machine Telescope). Just as the operation of the B-Machine, the sensor rotates in a circular motion around a center point. It is attached to the center of the ceiling of the room, continuously spinning at a slow rate to capture magnetic field information.
1.2. Positioning:
In order to pinpoint the source of magnetic fields, and to achieve the mapping (bonding) visualization on the floor, a positioning system is required. This system consists of three low-resolution cameras. One camera is attached to the rotating magnetic sensor and captures the area of magnetic scanning at the time. The other two are fixed at two facing corners of the room. Since one camera will be insufficient to capture the room entirely, these two fixed cameras provide a full picture of the room in order to create a positioning reference to the camera that spins with the sensor.
Through computer visioning the positions of the guests are fed as coordinates to the software that will interpret the magnetic field information
2. Data Analysis and Grouping
Magnetic Field Interpretation(Brain Reading)
The magnetic sensor continuously spins capturing the magnetic field emitted by the brains of the guests and using the location information of the individuals acquired with the cameras, a magnetic identity of each individual is obtained.
This information is then sent to the analysis software that will interpret the fields and calculate which parts of the brain are active. After all the magnetic field and location informations are attached, a comparison algorithm is applied and matching individuals are designated.
3. Output System
Once the room detects the spots of its guests the floor display is fed with information acquired. A circle is drawn beneath every individual displaying where they stand in the room. Following the capturing and the analysis of the magnetic field data, the software starts pairing up people and the result is displayed as bonds between people matched.
