000 | 03362naaaa2200649uu 4500 | ||
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003 | BUT | ||
005 | 20230503102432.0 | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20220111s2021 sz x |||||o ||||eng|| d | ||
020 | _a9783036525327 | ||
020 | _a9783036525334 | ||
020 | _a9783036525327 | ||
040 |
_aoapen _coapen |
||
041 | 0 | _aeng | |
042 | _adc | ||
080 | _a004,8 | ||
100 | 1 |
_aGams, Matjaz _4edt |
|
245 | 1 | 0 | _aArtificial Intelligence and Ambient Intelligence |
260 |
_aBasel, Switzerland _bMDPI - Multidisciplinary Digital Publishing Institute _c2021 |
||
300 | _a1 electronic resource (142 p.) | ||
506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
520 | _aThis book includes a series of scientific papers published in the Special Issue on Artificial Intelligence and Ambient Intelligence at the journal Electronics MDPI. The book starts with an opinion paper on “Relations between Electronics, Artificial Intelligence and Information Society through Information Society Rules”, presenting relations between information society, electronics and artificial intelligence mainly through twenty-four IS laws. After that, the book continues with a series of technical papers that present applications of Artificial Intelligence and Ambient Intelligence in a variety of fields including affective computing, privacy and security in smart environments, and robotics. More specifically, the first part presents usage of Artificial Intelligence (AI) methods in combination with wearable devices (e.g., smartphones and wristbands) for recognizing human psychological states (e.g., emotions and cognitive load). The second part presents usage of AI methods in combination with laser sensors or Wi-Fi signals for improving security in smart buildings by identifying and counting the number of visitors. The last part presents usage of AI methods in robotics for improving robots’ ability for object gripping manipulation and perception. The language of the book is rather technical, thus the intended audience are scientists and researchers who have at least some basic knowledge in computer science. | ||
540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc |
||
546 | _aEnglish | ||
650 | 0 |
_aИскусственный интеллект _94518 |
|
653 | _aRobotic hand | ||
653 | _aPerception | ||
653 | _aTactile sensing | ||
653 | _aMechatronics | ||
653 | _aGrasping | ||
653 | _aManipulation | ||
653 | _aPUT-Hand | ||
653 | _aUnderactuated | ||
653 | _aMulti-modal fusion | ||
653 | _aMachine learning | ||
653 | _aPerception for grasping | ||
653 | _aEffective computing | ||
653 | _aHuman–machine interface | ||
653 | _aWi-Fi | ||
653 | _aCSI | ||
653 | _aArtificial intelligence | ||
653 | _aAmbient intelligence | ||
653 | _aOne-dimensional depth sensor | ||
653 | _aBiometrics | ||
653 | _aIdentification | ||
653 | _aAffective computing | ||
653 | _aCognitive load | ||
653 | _aPsychophysiology | ||
653 | _aSupervised learning | ||
700 | 1 |
_aGjoreski, Martin _4edt |
|
700 | 1 |
_aGams, Matjaz _4oth |
|
700 | 1 |
_aGjoreski, Martin _4oth |
|
856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/77106 _70 _zDescription |
909 |
_c197 _dKhurliman Arzieva |
||
942 |
_2udc _cEE |
||
999 |
_c6545 _d6545 |