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