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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vazquez-Santacruz, E. Gamboa-Zuniga, M. |
| Copyright Year | 2015 |
| Description | Author affiliation: CGSTIC, Cinvestav-IPN, Mexico City, Mexico (Vazquez-Santacruz, E.; Gamboa-Zuniga, M.) |
| Abstract | This work presents an system developed using artificial intelligence algorithms for getting automatic movements of a robotic bed based on posture classification and identification. We think this kind of devices can be used in hospitals to care for people with motor disabilities. This bed functionality has been developed in response to the requirements defined by the application of our diagnostic methodology [21]. Our diagnostic methodology applied on public hospitals allowed us to understand that the problem of mobility in elderly people and disabled people involves solutions like devices that attend these individuals to achieve movement without many complications. The movement of these patients can be performed routinely or sporadically during their stay in hospital. For patients who require certain routine application of this movement is designed an intelligent monitor system. This intelligent system allows medical experts to program the movements of the robotic bed considering the patient's posture and time. In order to develop this intelligent device, we construct a methodology for bodies classification in lying state using HOG descriptor and pressures sensors positioned in a matrix form on the surface where bodies lie down. it will be done in real time. Due to current technology a limited number of sensors is used, which results in low resolution data array. This work considers the problem of human posture classification with few information (sensors), applying digital process to expand the original data of the sensors and so get more significant data for the classification, however, this is done with low-cost algorithms to ensure the real-time execution. |
| Starting Page | 868 |
| Ending Page | 874 |
| File Size | 9433976 |
| Page Count | 7 |
| File Format | |
| ISSN | 21579563 |
| e-ISBN | 9781467376792 |
| DOI | 10.1109/ICNC.2015.7378105 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pressure sensors intelligent monitor assistive devices support vector machines pressure sensors intelligent systems Support vector machines assistive robotics Hospitals Databases Pattern classification applied artificial intelligence posture recognition Arrays Robots health care technology Intelligent hospital devices |
| Content Type | Text |
| Resource Type | Article |
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