2018 IEEE International Conference on Real-Time Computing and Robotics (RCAR) 2018
DOI: 10.1109/rcar.2018.8621671
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Human Fall Detection Improvement Based on Artificial Neural Network and Optimized Zero Moment Point Algorithms

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“…Fusing information from different types of sensors might improve the accuracy, e.g. besides IMUs on the belt, Tan et al [22] achieved an accuracy of over 98% for fall detection by integrating data from pressure sensors under the feet.…”
Section: Introductionmentioning
confidence: 99%
“…Fusing information from different types of sensors might improve the accuracy, e.g. besides IMUs on the belt, Tan et al [22] achieved an accuracy of over 98% for fall detection by integrating data from pressure sensors under the feet.…”
Section: Introductionmentioning
confidence: 99%