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:w does not belong in text
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Rob Hallam 5 ay önce
ebeveyn
işleme
85c9e30cb7
1 değiştirilmiş dosya ile 3 ekleme ve 3 silme
  1. +3
    -3
      project-preplanning.org

+ 3
- 3
project-preplanning.org Dosyayı Görüntüle

@@ -20,7 +20,7 @@ While apps exist for the two questionnaires mentioned in the `pitch', there is s
- combined app :: most simply, there are two apps, having a single app for both questionnaires is surely preferable (/stretch goal/: define questionnaires in eg JSON, the app can dynamically expand without needing updated)
- encryption :: even though the data is stored locally, it is still worthwhile to encrypt it at rest for privacy reasons
- export‡ :: being able to export eg a PDF or similar would be a boon for sharing with clinicians (eg this could be printed off to be added to notes); other formats are possible too
- patient notes† :: being able to take freetext notes, which could be associated with a questionnaire or be `freestanding', would aid memory for patients in consulations
- patient notes† :: being able to take free text notes, which could be associated with a questionnaire or be `freestanding', would aid memory for patients in consultations
- graphing† :: since these questionnaires usually produce a score, this could be charted over time (handy for spotting patterns)
- reminders† :: a periodic notification (eg weekly, bi-weekly, monthly) would help remind patients to track their symptoms

@@ -50,7 +50,7 @@ Where the video is quiet it is unlikely to be a highlight. Interesting bits migh

1. where the *audio level peaks* (eg someone speaking under stress, multiple people speaking, loud part of a game)
2. where there is *laughter*, something funny probably happened or was said
3. where there is lots of *motion* something interesting may be happening:w
3. where there is lots of *motion* something interesting may be happening

To find these points:

@@ -72,7 +72,7 @@ There are a few caveats:

- I don't know how well the `laughter detection' model works with the sample data (ie my own video files)
- I don't know the first thing about training a model or tuning one (I suspect I would need several thousands of samples to train, perhaps fewer to tune?)
- I lack hardware for tuning (my GPU is ancient and doesn't have features of newer GPUS)
- I lack hardware for tuning (my GPU is ancient and doesn't have features of newer GPUs)
- Working with video files can be quite slow in general

** How This Project Might Proceed


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