THE CONDUCTOR
Features
Gathering Data
From raw sensor data to hand positions
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Collects a measurement of the gravity vector from four accelerometers strategically located on the hand and fingers
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Gathers distance information from a laser time of flight sensor
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Filters and formats sensor data for transmission
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Transmits sensor data to a PC application via WiFi
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Characterizes distinct hand positions in real time by feeding gravity vectors to a small model neural network
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Logs neural network settings and parameters for prediction or further training
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Guides musicians through setup and use with a graphical user interface in the PC application
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Logs user settings and preferences for quick setup and model swapping
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Maps MiDi controls and commands to changes in predicted hand position based on user input
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Synchronizes MiDi commands to multiple channels and controls
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Interacts with another MiDi stream or generates MiDi notes
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Communicates with open source and proprietary Digital Audio Workstations
Applying Data
From user input to turn up the volume
Materials
Small, soft, smart
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Biodegradable PLA enclosures are comfortable and rugged
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Small package SMT sensors reduce size and weight
- TinyS3 by Unexpected Maker provides a 240 MHz CPU and WiFi anywhere
- Lithium battery charges via USB and provides up to two hours of use
