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adl-recognition

PyPI

Classification of Activities of Daily Living(ADL) using depth videos and audio

Versions collected1
Direct dependencies5From release 1.0.1
Last observed20 Oct, 19:39 UTC

README

Version 1.0.1 documentation

AssistedLivingSystem

Recognition of Activities of Daily Living(ADL) with privacy protection using depth and audio data.

Activities

Making a phone call, clapping, drinking, eating, entering from door, exiting from door, falling, lying down, opening pill container, picking object, reading, sit still, sitting down, sleeping, standing up, sweeping, using laptop, using phone, wake up, walking, washing hand, watching TV, water pouring and writing

Dependencies

  • python >= 2.7
  • numpy
  • librosa
  • noisereduce
  • cv2
  • keras

This project is developed as a FYP, UoM, 2019.

License

MIT

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Versions 1

Collected releases
VersionPublishedDirect dependenciesOpen version
1.0.125 Dec 20195

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Repository

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rivindum/adlrecognition

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Current collected state Current

Observed since 20 Oct, 19:39 UTC

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Record identity

package:c553da22a85ad53cb2c049f1f939a2bc1cfafe446ff299c951840924330d6554