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According to a Gallup survey from 2024, 57% of Americans say they would feel better if they got more sleep. And though some countries are better in that regard, lack of satisfying sleep is a problem everywhere. But the problem may not be the amount of time you’re in bed and may actually be about sleep quality. To help you sleep better, Milan Ferus-Comelo developed the SomnoSphere smart bedside lamp as his submission to Hackster’s Sensor Fusion Challenge.
SomnoSphere is designed to track your biometrics and monitor key environmental conditions in your room. It analyzes how conditions affect your sleep, provides reports on your sleep performance and potential sources of disturbances, and even helps you wake up each morning.
There are many devices on the market that promise similar results, but they’re usually wearables and can be uncomfortable — the last thing you want when trying to get a good night’s sleep. SomnoSphere sits unobtrusively on your nightstand and doesn’t require physical contact, which is a big experience upgrade.
Ferus-Comelo built SomnoSphere around an Arduino® UNO
Q. It monitors a whole suite of sensors. Of those, two are particularly interesting: a DFRobot C1001 60GHz mmWave sensor and an MLX90640 infrared thermal camera. Those enable SomnoSphere to see your body and determine if you’re awake, in REM sleep, or in deep sleep. The other sensors let SomnoSphere monitor room conditions, like temperature, light, and noise.An Edge Impulse AI model analyzes all of the sensor data to identify your sleep state and detect anomalies. A nice interface then shows you your sleep cycles and relevant data at any given time.
With that, you might notice that every time the room warms up a little bit, you wake up briefly. That is valuable information, because it gives you something actionable to improve your sleep (more consistent air conditioning, in this case). You can identify your own triggers and address them to get better sleep.
The post SomnoSphere is an intelligent bedside lamp that helps you sleep better appeared first on Arduino Blog.
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