Optimized Fall Detection Algorithm with Adaptive Sum Vector Magnitude and Axis-Weighted Features from Wearable Accelerometer Data
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9707-7_19
Reference18 articles.
1. Alarifi A, Alwadain A (2020) Killer heuristic optimized convolution neural network-based fall detection with wearable IoT sensor devices. Meas J Int Meas Confed 167:108258. https://doi.org/10.1016/j.measurement.2020.108258
2. Al-qaness MAA, Helmi AM, Dahou A, Elaziz MA (2022) The applications of metaheuristics for human activity recognition and fall detection using wearable sensors: a comprehensive analysis. Biosensors 12:1–21. https://doi.org/10.3390/bios12100821
3. Yhdego H, Li J, Paolini C, Audette M (2021) Wearable sensor gait analysis of fall detection using attention network. In: Proceedings of—2021 IEEE international conference on bioinformatics and biomedicine BIBM 2021, pp 3137–3141. https://doi.org/10.1109/BIBM52615.2021.9669795
4. Ferreira RN, Ribeiro NF, Santos CP (2022) Fall risk assessment using wearable sensors: a narrative review. Sensors 22:1–22. https://doi.org/10.3390/s22030984
5. Amir NIM, Dziyauddin RA, Mohamed N, Ismail NSN, Zulkifli NSA, Din NM (2022) Real-time threshold-based fall detection system using wearable IoT. In: 4th International conference on smart sensors and application. Digital Social Well-Being, ICSSA 2022, pp 173–178. https://doi.org/10.1109/ICSSA54161.2022.9870974
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