7. https://goo.gl/QRHuz2
sensors & technology - that could be used
MEMS micros
ultrasonic sensors
weight sensor
accelerometerx
pulsoxymeters
cams
infra red cam
single shot refractometer
some ESP32
some Raspberry Pi B3+
Internet access 365/24
solar power
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8. https://goo.gl/QRHuz2
technologies that are available now
speech recognition in all (google supported) languages
speaker recognition, gender, age
face and eye recognition with Raspberry pi
gender recognition by speech
backend image processing
artificial intelligence
TTS pico speak offline
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9. https://goo.gl/QRHuz2
parametersm that could be measured
gender, age
body weight and BMI
body length, dys-/proportion: sitting/standing (amputations)
shaking (e.g. ADHS/ Accelerometer, M. Parkinson)
(skin/PERIPHERAL FINGER) temperature
hair (Alopezia)
heart rhythm (radar)
oxygen saturation => heart illness
breathing rhythm (radar)
full eye status (visus testing, full refraction)
full audiometric status (auditive disabilities)
reaction testings
eye blink and movements
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automatic total check
time needed estimated:
30 minutes?
10. https://goo.gl/QRHuz2
parameters
two pulsoxymeters right/left middle finger
detecting puls frequency, side differences? amplutudes, temperature
oxygen saturation
thermo face cam
infections. body/face peripheral temperature (remember SARS epidemics!!)
cam: Gesichtszentrierung
cam above: wearing hut / detecting Alopecia, detecting max HWS rotation when moving head along a blinking
led-line
cheap radar chip
doppler effect aallwing detecting : Normopnoe, Tachypnoe, Hypopnoe -> COPD
10
11. https://goo.gl/QRHuz2
How to obtain these parameters I
Radar Module (in front of client)
breath frequency, recorded during the whole period of testing
heartbeat rate, recorded during the whole period of testing
movable screen (in front of client)
2 x loudspeakers aside chair in wall -> doing audiometry
verbal commands , using speech recognition
determining visus by screen testing
verbal commands also, using speech recognition
automated refraction analysis is possible today 4 screening
anthropometric hand measuring : children/adult age recognition
cam 4 face centric
Audio profiling
women / men
language
detecting heart failure (water in lung)
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14. https://goo.gl/QRHuz2
details: breathing sensoring
https://www.ncbi.nlm.nih.gov/pubmed/12583278
Abstract
The paper introduces the design of hardware and software of non-contact detection system for breathing and heartbeat
in human body with radar principles and technology. The detection technology is discussed. Under conditions of the
illuminating power P < 1 mW and the distance S < 10 m, the non-contact breathing and heartbeat measurement, can be in
different positions and with different clothing on the subject. The results show that the system with the technology has a
high sensitivity, and is harmless to the health. It is a practicable non-contact detection technology for breathing and
heartbeat of human body.
PMID: 12583278 [Indexed for MEDLINE]
14
28. https://goo.gl/QRHuz2
details: heartbeat sensoring
https://www.ncbi.nlm.nih.gov/pubmed/12583278
Abstract
The paper introduces the design of hardware and software of non-contact detection system for breathing and heartbeat in human body
with radar principles and technology. The detection technology is discussed. Under conditions of the illuminating power P < 1 mW and the
distance S < 10 m, the non-contact breathing and heartbeat measurement, can be in different positions and with different clothing on the
subject. The results show that the system with the technology has a high sensitivity, and is harmless to the health. It is a practicable non-
contact detection technology for breathing and heartbeat of human body.
PMID: 12583278 [Indexed for MEDLINE]
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