Design Approach and Details Design Approach Hardware The Smart Mirror consisted of two Raspberry Pi 3 Model Bs, one Mbed microcontroller, two Hover 2.0 gesture sensors, one phototransistor, one temperature-humidity sensor, one two-way acrylic sheet, and a wooden case and frame. Wood was chosen as the casing and framing material because of its malleability and low cost. Holes were drilled in the casing for both screws and ventilation. Raspberry Pi 3 was chosen for this Smart Mirror prototype because its built in Bluetooth, Wi-Fi modules and its excellent processing power with modern UNIX like operating system. For analog input reading unit on Smart Mirror, the Mbed (32-bit microcontrollers) was used. For the prototype, the analog sensors integrated were the phototransistor and the temperature-humidity sensors. While the team successfully included the sensors they proposed to integrate, future iterations of this prototype would feature biosensors (i.e. muscle contraction and heart rate sensors). The Hover was used as the main user interaction method in Smart Mirror prototype. It allows user using gesture to interact with the platform in 10 cm. distance, without touching the mirror. While the gesture sensors have been integrated successfully and provide reliable feedback, future iterations of this prototype would include more inconspicuous placement of the Hover 2.0s. The issue with hiding the Hover 2.0 is that if placed behind a thick enough material (i.e. 1/8 in. acrylic sheet), no gestures will be tracked or identified. A few alternatives include using a different gesture sensor device, using a two-way acrylic with a thickness less than 1/8 in., or reproducing the Hover 2.0 using transparent circuitry inkjet printed directly onto the display substrate.
Design Approach and Details Design Approach Hardware The Smart Mirror consisted of two Raspberry Pi 3 Model Bs, one Mbed microcontroller, two Hover 2.0 gesture sensors, one phototransistor, one temperature-humidity sensor, one two-way acrylic sheet, and a wooden case and frame. Wood was chosen as the casing and framing material because of its malleability and low cost. Holes were drilled in the casing for both screws and ventilation. Raspberry Pi 3 was chosen for this Smart Mirror prototype because its built in Bluetooth, Wi-Fi modules and its excellent processing power with modern UNIX like operating system. For analog input reading unit on Smart Mirror, the Mbed (32-bit microcontrollers) was used. For the prototype, the analog sensors integrated were the phototransistor and the temperature-humidity sensors. While the team successfully included the sensors they proposed to integrate, future iterations of this prototype would feature biosensors (i.e. muscle contraction and heart rate sensors). The Hover was used as the main user interaction method in Smart Mirror prototype. It allows user using gesture to interact with the platform in 10 cm. distance, without touching the mirror. While the gesture sensors have been integrated successfully and provide reliable feedback, future iterations of this prototype would include more inconspicuous placement of the Hover 2.0s. The issue with hiding the Hover 2.0 is that if placed behind a thick enough material (i.e. 1/8 in. acrylic sheet), no gestures will be tracked or identified. A few alternatives include using a different gesture sensor device, using a two-way acrylic with a thickness less than 1/8 in., or reproducing the Hover 2.0 using transparent circuitry inkjet printed directly onto the display substrate.
ESGT_Final_Report.docx