# Pattern Recognition in Older Adults' Activities of Daily Living
## 3 Materials and Methods
### Pattern Recognition
* Prob(\(c_{j},t_{i}\)): Figure 9:6 Calculates the probability of occupancy for a compartment \(c_{j}\) at a given time \(t_{i}\). * Avg(RSSI\({}_{b_{j}},c_{j},t_{i}\)): Figure 9:7 Computes the average Received Signal Strength Indicator (RSSI) for beacon \(b_{i}\) in compartment \(c_{j}\) at time \(t_{i}\). * StdDev(RSSI\({}_{b_{i}},c_{j},t_{i}\)): Figure 9:8 Computes the standard deviation of RSSI values for beacon \(b_{i}\) in compartment \(c_{j}\) at time \(t_{i}\). * Perc(RSSI\({}_{b_{i}},c_{j},t_{i},p\)): Figure 9:9 Calculates the \(p\)th percentile of RSSI values for beacon \(b_{i}\) in compartment \(c_{j}\) at time \(t_{i}\). * Store(prb,std,perc25,perc75): Figure 11:0 Stores the calculated probabilities and statistical metrics in the \(\mathcal{P}\) structure (e.g., the _pattern.csv_ file). ## References

* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Progress in Outlier Detection Techniques: A Survey. _IEEE Access_**2019**, \(7\), 107964-108000. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] CoDetect: Financial Fraud Detection with Anomaly Feature Detection. _IEEE Access_**2018**, \(6\), 19161-19174. [CrossRef]
* [PERSON] and [PERSON] (2006) [PERSON]; [PERSON] Unsupervised Outlier Detection in Time Series Data. In Proceedings of the 22 nd International Conference on Data Engineering Workshops (ICDEW'06), Atlanta, GA, USA, 3-7 April 2006; p. x121. [CrossRef]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] Anomaly Detection, Analysis and Prediction Techniques in IoT Environment: A Systematic Literature Review. _IEEE Access_**2019**, \(7\), 81664-81681. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON]; [PERSON] Cluster Based Outlier Detection Algorithm for Healthcare Data. _Procedia Comput. Sci._**2015**, _50_, 209-215. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] Combined data mining techniques based patient data outlier detection for healthcare safety. _Int. J. Intell. Comput. Cybern._**2016**, \(9\), 42-68. [CrossRef]
* [PERSON] (2021) [PERSON]; [PERSON]; [PERSON] Explainable AI: A Review of Machine Learning Interpretability Methods. _Entropy_**2021**, _23_, 18. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A systematic review on supervised and unsupervised machine learning algorithms for data science. In _Supervised and Unsupervised Learning for Data Science_; Springer: Cham, Switzerland, 2020; pp. 3-21. * [PERSON] (2024) Crontab Guru. Available online: [[https://crontab.guru](https://crontab.guru)]([https://crontab.guru](https://crontab.guru)) (accessed on 3 April 2024). * [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON] A Hybrid Approach for Anomaly Detection in Elderly People's Daily Life Activities. _J. Ambient. Intell. Humaniz. Comput._**2021**, _12_, 10749-10763. * [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] A review on Internet of Things for defense and public safety. _Sensors_**2016**, _16_, 10. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] IoT Based Fall Detection System for Elderly Healthcare. In _Internet of Things for Human-Centered Design: Application to Elderly Healthcare_; Springer: Singapore, 2022; pp. 209-232. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] Behavioral differences between subject groups identified using smart homes and change point detection. _IEEE J. Biomed. Health Inform._**2020**, _25_, 559-567. [CrossRef] [PubMed]
* [PERSON] et al. (2021) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON] Behavior modeling for a beacon-based indoor location system. _Sensors_**2021**, _21_, 4839. [CrossRef] [PubMed]
* [PERSON] and [PERSON] (2018) [PERSON]; [PERSON] Predicting human behaviour with recurrent neural networks. _Appl. Sci._**2018**, \(8\), 305.