Skip to main content

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

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

adl_recognition-1.0.1.tar.gz (110.6 MB view hashes)

Uploaded Source

Built Distribution

adl_recognition-1.0.1-py3-none-any.whl (110.6 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page