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- research-articleJuly 2024
A spatio-temporal graph neural network for fall prediction with inertial sensors
AbstractFalls are the leading cause of unintentional human injury, having become a public health event of strong social concern. The fall prediction technology based on wearable inertial sensors is a relatively reliable solution in human activity ...
- ArticleSeptember 2023
MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo TrackPages 394–409https://doi.org/10.1007/978-3-031-43427-3_24AbstractA key challenge in wearable sensor-based fall prediction is the fact that a fall event can often be performed in several different ways, with each consisting of its own configuration of poses and their spatio-temporal dependencies. Furthermore, to ...
- articleMay 2023
A review of wearable sensors based fall-related recognition systems
Engineering Applications of Artificial Intelligence (EAAI), Volume 121, Issue Chttps://doi.org/10.1016/j.engappai.2023.105993AbstractFalls are an important factor in significantly deteriorating quality of life of older adults, consequently leading to both physical and psychological harm. A wearable-based fall-related recognition system (WFRS) indeed facilitates the prediction, ...
Highlights- A comprehensive review of Wearable-based Fall-related Recognition Systems.
- Summarize and discuss the techniques of data acquisition, preprocessing and augmentation in FRSs.
- Investigate FRSs research that implemented threshold, ...
- research-articleDecember 2022
Gait-based person fall prediction using deep learning approach
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 26, Issue 23Pages 12933–12941https://doi.org/10.1007/s00500-021-06125-1AbstractTechnology development and digital techniques provide wide opportunities to develop automatic systems. With the help of automated assessment systems, fall prediction for elders or persons with walking disabilities can be identified. Instead of ...
- review-articleSeptember 2020
Smart Fall Prediction for Elderly Care Using iPhone and Apple Watch
Wireless Personal Communications: An International Journal (WPCO), Volume 114, Issue 1Pages 347–365https://doi.org/10.1007/s11277-020-07366-3AbstractAlong with the annually increasing elderly population, the issues particularly regarding the elderly care are gaining inevitable attention. Nursing and taking care of the elderly people is now the emphasized issue. Besides, the social phenomena of ...
- research-articleNovember 2019
Human inspired fall prediction method for humanoid robots
Robotics and Autonomous Systems (ROAS), Volume 121, Issue Chttps://doi.org/10.1016/j.robot.2019.103257AbstractHumanoid robots are anticipated to work like humans in unstructured environments, and in such cases, falling over is inevitable due to the inherent postural instabilities and external disturbances arising from the environments. Since ...
Highlights- Extensive numerical analysis demonstrate the usage of redundant sensors for fall prediction.
- articleMarch 2014
Direction-changing fall control of humanoid robots: theory and experiments
- Ambarish Goswami,
- Seung-Kook Yun,
- Umashankar Nagarajan,
- Sung-Hee Lee,
- Kangkang Yin,
- Shivaram Kalyanakrishnan
Humanoid robots are expected to share human environments in the future and it is important to ensure the safety of their operation. A serious threat to safety is the fall of such robots, which can seriously damage the robot itself as well as objects in ...