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# AI Ethics and Privacy Resources
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### Databases for Human Activity Recognition:
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1. **MobiAct**
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- URL: [MobiAct GitHub](https://github.com/MatheLi/Fall_Detection_App_AI/blob/master/posts/The_dataset.md)
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2. **NHANES Dataset**
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- URL: [NHANES](http://www.sal.disco.unimib.it/technologies/unimib-shar/)
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3. **UniMiB SHAR**
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- URL: [UniMiB SHAR](https://wwwn.cdc.gov/nchs/nhanes/)
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4. **UCI Human Activity Recognition Using Smartphones Dataset**
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- URL: [UCI HAR Dataset](https://archive.ics.uci.edu/dataset/240/human+activity+recognition+using+smartphones)
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5. **ISDM (Wireless Sensor Data Mining)**
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- URL: [ISDM on GitHub](https://github.com/topics/wireless-sensor-data-mining)
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6. **HHAR (Heterogeneity Human Activity Recognition)**
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- URL: [HHAR on GitHub](https://github.com/Limmen/Distributed_ML)
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7. **PAMAP2 Physical Activity Monitoring**
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- URL: [PAMAP2 on UCI](https://archive.ics.uci.edu/dataset/231/pamap2+physical+activity+monitoring)
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8. **Daphnet Freezing of Gait**
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- URL: [Daphnet on UCI](https://archive.ics.uci.edu/dataset/245/daphnet+freezing+of+gait)
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9. **Actitracker**
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- URL: [Actitracker on GitHub](https://github.com/gomahajan/har-actitracker)
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10. **Daily and Sports Activities**
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- URL: [Daily and Sports Activities on UCI](https://archive.ics.uci.edu/dataset/256/daily+and+sports+activities)
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11. **Smartphone Dataset for Human Activity Recognition (HAR) in Ambient Assisted Living (AAL)**
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- URL: [HAR in AAL on UCI](https://archive.ics.uci.edu/dataset/364/smartphone+dataset+for+human+activity+recognition+har+in+ambient+assisted+living+aal)
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12. **Opportunity Activity Recognition**
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- URL: [Opportunity on UCI](https://archive.ics.uci.edu/dataset/226/opportunity+activity+recognition)
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13. **CASAS**
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- URL: [CASAS](https://casas.wsu.edu/datasets/)
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14. **MSR Daily Activity 3D**
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- URL: [MSR Daily Activity 3D](https://wangjiangb.github.io/my_data.html)
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15. **REALDISP Activity Recognition Dataset**
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- URL: [REALDISP](https://mldta.com/dataset/realdisp-activity-recognition-dataset/)
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### Tools & Methods for Data Collection, Cleaning, and Analysis:
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- **Data Collection**:
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- APIs and SDKs
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- Wireless transmission
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- **Data Cleaning**:
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- Pandas
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- Sci-kit learn
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- **Data Analysis**:
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- TensorFlow and Keras
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- Matplotlib and Seaborn
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