Machine Learning Baby Monitor Prevents The Hunger Games

Newborn babies can be tricky to figure out, especially for first-time parents. Despite the abundance of unsolicited advice proffered by anyone who ever had a baby before — and many who haven’t — most new parents quickly get in sync with the baby’s often ambiguous signals. But [Caleb] took his observations of his newborn a step further and built a machine-learning hungry baby early warning system that’s pretty slick.

Normally, babies are pretty unsubtle about being hungry, and loudly announce their needs to the world. But it turns out that crying is a lagging indicator of hunger, and that there are a host of face, head, and hand cues that precede the wailing. [Caleb] based his system on Google’s MediaPipe library, using his baby monitor’s camera to track such behaviors as lip smacking, pacifier rejection, fist mouthing, and rooting, all signs that someone’s tummy needs filling. By putting together a system to recognize these cues and assign a weight to them, [Caleb] now gets a text before the baby gets to the screaming phase, to the benefit of not only the little nipper but to his sleep-deprived servants as well. The video below has some priceless bits in it; don’t miss [Baby Caleb] at 5:11 or the hilarious automatic feeder gag at the end.

We’ve seen some interesting videos from [Caleb] recently, mostly having to do with his dog’s bathroom habits and getting help cleaning up afterward. We can only guess how those projects will be leveraged when this kid gets a little older and starts potty training.

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Human Augmentation For Weight Loss

If you read almost any article about powered human implants, you will encounter the same roadblock, “it could be so much better with more powerful batteries.” Our fleshy power systems are different from electrical systems, but we are full of moving parts, so [Xudong Wang] and fellow researchers have harnessed that power (Sci Hub Alt) and turned it right back into something else our body understands.

The goal of this project is to control obesity by tricking the vagus nerve into thinking we are full as we digest our current meal. The treatment has already been proven with battery-powered implants, but this version uses the oscillations of the stomach for power and sends the generated power right where it is needed. A control group of rats showed no change over 100 days, but those with this implant shed more than a third of their body weight. This may need some tuning but its effectiveness seems to be heading the right way, and it is surgically reversible.

The device is a triboelectric generator coated in polyimide and Ecoflex™ with gold electrodes that wrap around the vagus nerve at the gastro-esophageal junction. The generator presses against the stomach from outside and the rhythm of the muscles generates the signal that the stomach is full so it becomes a loop of digesting ⇄ sated.

Another handful, of implants don’t need power from inside the body and use RFID technology.
Via IEEE Spectrum.