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With the development of modern intelligent transportation systems (ITS), automatic traffic incident detection with quick response and high accuracy becomes one of the most important issues, especially for metropolitan streets that are full of signaled intersections. In this paper, we present our up-to-date research outcomes of the traffic incident detection system, which makes use of the image sequences...
This paper presents multi-category human motion recognition methods based on MEMS inertial sensing data. A micro inertial measurement unit (muIMU) that is 56 mm*23 mm*15 mm in size was built. This unit consists of three dimensional MEMS accelerometers, gyroscopes, a Bluetooth module and a MCU (Micro Controller Unit), which can record and transfer inertial data to a computer through serial port wirelessly...
This paper describes a novel approach for human motion recognition via motion features extracted from sensor data. The classification process consists of two phases. The first one is a preprocessing of raw signals. Median Filter is used to filter pulse noise while vector quantization is used for Gaussian noise and reducing dimensions in this phase. The second one consists of a hybrid HMM/SVM classifier...
This paper introduces the development of a mobile human airbag system that is designed for fall protection for the elderly. A Micro Inertial Measurement Unit (mulMU) that is 66 mm x 20 mm x 20 mm in size is built. This unit consists of three dimensional MEMS accelerometers, gyroscopes, and a Bluetooth module. It records human motion information, and, with a Support Vector Machine (SVM) training process,...
This paper describes the development of a human airbag system which is designed to reduce the impact force from falls. A micro inertial measurement unit (muIMU), based on MEMS accelerometers and gyro sensors is developed as the motion sensing part of the system. A recognition algorithm is used for real-time fall determination. With the algorithm, a microcontroller integrated with the muIMU can discriminate...
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