000 | 01486cam a22002418i 4500 | ||
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001 | 19893047 | ||
003 | IIITD | ||
005 | 20210123143648.0 | ||
008 | 181030b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781138746091 | ||
040 |
_aDLC _beng _cDLC _erda _dDLC |
||
082 | 0 | 0 |
_a681.2 _bAMI-R |
100 | 1 | _aAmin, Moeness G | |
245 | 1 | 0 |
_aRadar for indoor monitoring : _bdetection, classification, and assessment _cMoeness Amin |
260 |
_aNew york : _bCRC Press, _c©2018 |
||
300 |
_axiii, 390 p. : _bcol. ill. ; _c24 cm. |
||
504 | _aIncludes bibliographical references. | ||
520 | _a"This book aims to capture recent advances and breakthroughs in in-home radar monitoring of human motions and activities. It addresses three key attributes of radar for in-door human monitoring, namely: fall detection, detection of vital signs, and assessment of human gait for risk assessment and progression of physical impairments and disabilities. It explores recent developments in radar technology for human monitoring inside homes and residences. The reader will learn enhanced detection and classification techniques of radar signals associated with micro- and macro-motions. Furthermore, the book includes examples using real data collected from patients and retirement communities, as well as modeled data based on biomechanics and kinematics"-- | ||
650 | 0 |
_aRadar _xAutomatic detection. |
|
650 | 0 | _aHuman activity recognition. | |
650 | 0 | _aPatient monitoring. | |
942 |
_2ddc _cBK _02 |
||
999 |
_c25030 _d25030 |