A micro inertial measurement unit (muIMU) which is based on MEMS accelerometers and gyro sensors is developed for real-time recognition of human body ...
Experimental results show that the muIMU system can achieve a lateral falling-motion recognition rate of 100% using selected eigenvector sets generated from ...
Towards a Human Airbag System Using µIMU with. SVM Training for Falling-Motion Recognition. Yilun Luo1, Guangyi Shi1, Josh Lam1, Guanglie Zhang1,. Wen J. Li1 ...
A Micro Inertial Measurement Unit (μIMU) which is based on MEMS accelerometers and gyro sensors is developed for real-time recognition of human body motions ...
Towards a human airbag system using μIMU with SVM training for falling-motion recognition. Research output: Chapters, Conference Papers, Creative and ...
Abstract. This paper introduces the development of a mobile human airbag system designed for fall protection for the elderly.
This paper introduces the development of a mobile human airbag system designed for fall protection for the elderly. A Micro Inertial Measurement Unit (μIMU) ...
Missing: recognition. | Show results with:recognition.
In addition, we present our progress on using Support Vector Machine (SVM) training together with the µIMU to better distinguish falling and normal motions.
A recognition algorithm is used for real-time fall determination. With the algorithm, a microcontroller integrated with the µIMU can discriminate falling-down ...
In addition, we present our progress on using Support Vector Machine (SVM) training together with the µIMU to better distinguish falling and normal motions.