[HTML][HTML] Towards effective detection of elderly falls with CNN-LSTM neural networks
Fall detection is a very challenging task that has a clear impact in the autonomous living of
the elderly individuals: suffering a fall with no support increases the fears of the elderly …
the elderly individuals: suffering a fall with no support increases the fears of the elderly …
Transfer learning and information retrieval applied to fall detection
M Fañez, JR Villar, E de la Cal, J Sedano… - Expert …, 2020 - Wiley Online Library
Detecting falls in the elderly population is a very important issue that is related with the time
of recovery. This study focuses on using wearable smart watches to monitor the movements …
of recovery. This study focuses on using wearable smart watches to monitor the movements …
A-TSPD: autonomous-two stage algorithm for robust peak detection in online time series
The identification of peaks in time series data, known as peak detection (PD), holds great
significance as it pinpoints notable fluctuations within the dataset. These peaks serve as …
significance as it pinpoints notable fluctuations within the dataset. These peaks serve as …
A low-power HAR method for fall and high-intensity ADLs identification using wrist-worn accelerometer devices
There are many real-world applications like healthcare systems, job monitoring, well-being
and personal fitness tracking, monitoring of elderly and frail people, assessment of …
and personal fitness tracking, monitoring of elderly and frail people, assessment of …
Fall detection based on local peaks and Machine Learning
This research focuses on Fall Detection (FD) using on-wrist wearable devices including tri-
axial accelerometers performing FD autonomously. This type of approaches makes use of …
axial accelerometers performing FD autonomously. This type of approaches makes use of …
A simple classification ensemble for adl and falls
Abstract Fall Detection (FD) and ADL (Activity of Daily Living) identification is one the main
challenges in a lot of real-world problems like work monitoring, healthcare systems, etc. Up …
challenges in a lot of real-world problems like work monitoring, healthcare systems, etc. Up …
[PDF][PDF] Fall detection based on local peaks and machine learning
JR Villar Flecha, M Villar, M Fáñez… - … , HAIS 2020, Gijón …, 2021 - digibuo.uniovi.es
This research focuses on Fall Detection (FD) using on-wrist wearable devices including tri-
axial accelerometers performing FD autonomously. This type of approaches makes use of …
axial accelerometers performing FD autonomously. This type of approaches makes use of …
A Simple Classification Ensemble for ADL and Falls
V Suárez - Hybrid Artificial Intelligent Systems: 15th International …, 2020 - books.google.com
Fall Detection (FD) and ADL (Activity of Daily Living) identification is one the main
challenges in a lot of real-world problems like work monitoring, healthcare systems, etc. Up …
challenges in a lot of real-world problems like work monitoring, healthcare systems, etc. Up …
[PDF][PDF] A simple classification ensemble for ADL and falls
Fall Detection (FD) and ADL (Activity of Daily Living) identification is one the main
challenges in a lot of real-world problems like work monitoring, healthcare systems, etc. Up …
challenges in a lot of real-world problems like work monitoring, healthcare systems, etc. Up …