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

燈絲

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

集中營(yíng)

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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北極熊

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.

Pathogen

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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