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Titlebook: Ambient Intelligence for Health; First International José Bravo,Ramón Hervás,Vladimir Villarreal Conference proceedings 2015 Springer Inte

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楼主: Maculate
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Die Dynamik der Blutzirkulation im Gehirned systems to detect gait events and calculate spatio-temporal parameters of human gait, which are accurate and redundant. These systems are expensive and are limited to very controlled settings. As alternative, a wearable inertial system and a single depth-camera system are proposed in order to det
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Die Dynamik der Blutzirkulation im Gehirnin human movement and balance such as internal muscle forces and joint torques. This problem is solved by a two-step process: data capturing using impractical, intrusive and expensive devices that is then used as input in complex models for obtaining the biomechanical variables of interest. In this
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Real-Time Recognition of Arm Motion Using Artificial Neural Network Multi-perceptron with Arduino Ontrol a videogame. The implemented application achieves an accuracy above 90 % using less than 0.2 s for recognitionof actions in time of testing. Our methodology is shown to predict different movements of the human armreliably, at a low cost and in real time.
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Fully-Wireless Sensor Insole as Non-invasive Tool for Collecting Gait Data and Analyzing Fall Risketectionand algorithms. All those can be obtained thanks to our fully-wireless flexible insole that containsthe sensors, embedded processing and wireless communications and charging. Pressure and inertial sensorsare embedded into the insoles and a smartphone collects data utilizing Bluetooth Low Ene
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