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
1 maintainer
Metadata
1 maintainer
Release files for adl-recognition 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| adl_recognition-1.0.1.tar.gz | 110.6 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| adl_recognition-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 221.1 MB
Release files / adl_recognition-1.0.1.tar.gz
| Download URL | adl_recognition-1.0.1.tar.gz |
|---|---|
| Size | 110.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8cbb0c40c190add90d262c242f5da214ed33ff1318856119915b6c05dc71bdd4
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twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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Release files / adl_recognition-1.0.1-py3-none-any.whl
| Download URL | adl_recognition-1.0.1-py3-none-any.whl |
|---|---|
| Size | 110.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0837b4cacc19a640eb402fcad3c46df17f59956fdc4e94ba33dd25a11ba235ee
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twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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