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high_blower_3000 [2018/02/05 00:07] – created deepnemoprojects:high_blower_3000 [2018/09/21 00:44] (current) – ↷ Page moved from high_blower_3000 to projects:high_blower_3000 kratenko
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 ===== High Blower 3000 ===== ===== High Blower 3000 =====
  
-Studies in logopaedics suggest that patients often suffer from recessive performance of the breathing apparatus which is often stimulated by breathing therapy, e.g., stimulating the corresponding systems by motivating the patient to exhale or blow in a directed manner. Using leading innovations in gamification as an additional reward system we propose to combine the well-known [[https://en.wikipedia.org/wiki/High_striker|High Striker]] with intelligent adaptive technology.+Recent studies in logopaedics suggest that patients often suffer from recessive performance of the breathing apparatus which is often countered with breathing therapy, e.g., stimulating the corresponding systems by motivating the patient to exhale or blow in a directed manner. Using leading innovations in gamification as an additional reward system we propose to combine the well-known [[https://en.wikipedia.org/wiki/High_striker|High Striker]] with intelligent adaptive technology.
  
-Presenting the **High Blower 3000** a logopaedics therapy enhancement for this millennium.+Presenting the **High Blower 3000**a logopaedics therapy enhancement for this millennium.
  
 The ergonomically formed breathing tube sports a high-definition microphone which captures the force behind the patient's blow. An adaptive algorithm using the latest AI technology translates strength and fitness of the patient into an ergonomic and eye-pleasing RGB scale for ease of use and immediate feedback. The therapist is able to increase the difficulty by tuning the system individually to the patient for the best individual care the patient can hope for. The ergonomically formed breathing tube sports a high-definition microphone which captures the force behind the patient's blow. An adaptive algorithm using the latest AI technology translates strength and fitness of the patient into an ergonomic and eye-pleasing RGB scale for ease of use and immediate feedback. The therapist is able to increase the difficulty by tuning the system individually to the patient for the best individual care the patient can hope for.
 +
 +===== Bill of Materials =====
 +
 +  * 1x Arduino
 +  * 1x Microphone
 +  * 1x Microphone Amplifier
 +  * 1x LED strip (RGB), 10 LED long
 +  * 1x Potentiometer
 +  * 1x Algorithm
 +  * 1x AI
 +
 +===== Milestones =====
 +
 +  * 05.02. Initial prototype ready
 +  * 18.02. LED strip integration, algorithm honing, AI training
 +  * 04.03. Product ready for release candidate