Virual Oral Presentation Slide by Slide

IEEE/ICACT20220120 Slide.06        [Big Slide]	Oral Presentation
	This study also used data from multi-sensors. Dina Chahyati et al. try to detect falling activity using Convolutional Neural Network and Long Short-Term Memory approaches. CNN is used to detect spatial information from image data, while LSTM is used to exploit temporal information from signal data. Then, the results of the two models are combined with the majority voting strategy. In general, studies of fall detection systems often use data collected from a variety of sensors to improve performance. In our study, although using only one type of sensor and a simple machine learning model, the fall detection performance is still better than previous studies.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!