May 19, 2015 · We present a selection algorithm for locomotion (SAL) that improves overall mobility by autonomously selecting the optimal locomotion. The ...

Jun 3, 2015 · In this paper, the SAL is used for two state variables of locomotion: gait (Ga-SAL) and speed (Sp-SAL). Both the simulations and experiments ...

Selection Algorithm for Locomotion Based on the Evaluation of Falling Risk. Kobayashi, T., Aoyama, T., Sekiyama, K., & Fukuda, T. IEEE Transactions on ...

This paper deals with a method of locomotion selection based on Falling Risk and moving efficiency that can move in the environment that is difficult to ...

This review is divided into two parts, the location of sensors/devices and the evaluation criteria of algorithms, which are the main components of locomotion ...

Nov 7, 2013 · The locomotion reward has been proposed as an indicator for selection algorithm based on Falling Risk and the moving speed. This strategy ...

Oct 22, 2024 · The locomotion reward has been proposed as an indicator for selection algorithm based on Falling Risk and the moving speed. This strategy has ...

This paper proposes four optimization objectives for MLR: power consumption, time consumption, path falling risk, and path smoothness. One path consists of many ...

Aug 27, 2024 · This study explores the efficacy of artificial intelligence (AI) in predicting fall risk, leveraging gait analysis through computer vision and machine learning ...

Fall risk assessment is a powerful tool that aids in determining the risk of falls for a given individual in order to provide early diagnosis and treatment to ...