Doppler Radar Technique for Geriatric Fall Detection-Reference-Cited by-同舟云学术

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Doppler Radar Technique for Geriatric Fall Detection

Published:2022 Issue: Volume: Page:343-350
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
language:
Short-container-title:

Author:

Rashmi N.,Mamatha K. R.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-3311-0_29

Reference25 articles.

1. Alnaeb A, Syamsul R, Abdullah AR, Salah A, Sali A, Rashid NEA, Pasya I (2018) Human activities detection and classification based on micro-Doppler signatures near the baseline of forward scattering radar. In: 2018 international conference on radar (RADAR). IEEE, pp 1–6

2. Javier RJ, Kim Y (2014) Application of linear predictive coding for human activity classification based on micro-Doppler signatures. IEEE Geosci Remote Sens Lett 11(10):1831–1834

3. Adhikari K, Bouchachia H, Nait-Charif H (2017) Activity recognition for indoor fall detection using convolutional neural network. In: 2017 fifteenth IAPR international conference on machine vision applications (MVA). IEEE, pp 81–84

4. Selvabala VSN, Ganesh AB (2012) Implementation of wireless sensor network based human fall detection system. Procedia Eng 30:767–773

5. Tekeli B, Gurbuz SZ, Yuksel M (2016) Information-theoretic feature selection for human micro-Doppler signature classification. IEEE Trans Geosci Remote Sens 54(5):2749–2762

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