2023 24th International Radar Symposium (IRS) 2023
DOI: 10.23919/irs57608.2023.10172472
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Measurement of a Baby Dummy with a Channel Sounder in an Anechoic Chamber for Child Presence Detection

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Cited by 2 publications
(1 citation statement)
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“…Mechanical sensors can be divided into three common categories, including resistive [8], inductive [9], and capacitive [10]. Both resistive 2 Range-doppler map or timefrequency spectrum Artificial intelligence to detect occupied seats [3], [11]- [34] The amplitude of reflected signals Left-behind child [2], [35]- [48] BR and HR difference BR and HR estimation [49]- [51] Gesture recognition to assist drivers Micro-doppler features Artificial intelligence to detect gestures [52]- [59] Occupant status monitoring BR and/or HR estimation None [60]- [77] Sensor placement for accurate BR estimation [78]- [80] Vital sign monitoring in an ambulance [81] Drowsy driving detection [82]- [87] Biometric driver seat [79] Angry driver [88] Multiple targets vital sign monitoring [89], [90] Car vibrations suppression [62], [91]- [93] Changes in the reflected power Distracted driver detection by cellphone [82] Random body movement cancellation [62], [80], [94] Airbag [95] Range-doppler map Distracted/drowsy driver based on head motion [96]- [101] Range doppler map, Changes in the phase of signals Drowsy driver based on eye blink frequency [102]- [107] and inductive sensors have difficulty discriminating between humans and objects [3]. Capacitive sensors which can detect the dielectric dispersion effects on human tissues are prone to high false detections…”
Section: Introductionmentioning
confidence: 99%
“…Mechanical sensors can be divided into three common categories, including resistive [8], inductive [9], and capacitive [10]. Both resistive 2 Range-doppler map or timefrequency spectrum Artificial intelligence to detect occupied seats [3], [11]- [34] The amplitude of reflected signals Left-behind child [2], [35]- [48] BR and HR difference BR and HR estimation [49]- [51] Gesture recognition to assist drivers Micro-doppler features Artificial intelligence to detect gestures [52]- [59] Occupant status monitoring BR and/or HR estimation None [60]- [77] Sensor placement for accurate BR estimation [78]- [80] Vital sign monitoring in an ambulance [81] Drowsy driving detection [82]- [87] Biometric driver seat [79] Angry driver [88] Multiple targets vital sign monitoring [89], [90] Car vibrations suppression [62], [91]- [93] Changes in the reflected power Distracted driver detection by cellphone [82] Random body movement cancellation [62], [80], [94] Airbag [95] Range-doppler map Distracted/drowsy driver based on head motion [96]- [101] Range doppler map, Changes in the phase of signals Drowsy driver based on eye blink frequency [102]- [107] and inductive sensors have difficulty discriminating between humans and objects [3]. Capacitive sensors which can detect the dielectric dispersion effects on human tissues are prone to high false detections…”
Section: Introductionmentioning
confidence: 99%