Watch Hides Gesture Controls In Wristband

Over the last five to ten years, smart watches have become fairly ubiquitous, with the Apple Watch being among the most prominent of them. Not everyone wants or needs all of the capabilities of these devices, though; plenty are still opting for simpler devices which only have a few functions built into them. [Josh] has been working on one of these devices but takes a major design cue from their smart counterparts with the addition of gesture controls for the watch built into the wristband instead of relying on a more traditional button interface.

The watch hosts most of the functionality of a non-smart digital watch, with a timer, alarms, and a stop watch built-in. To change the time or access any of these functions, a combination of resistive and capacitive touch sensors are built into the wristband near the watch face. The combination of sensors aims to use the benefits of either type of sensor, with the capacitive sensors being used for precision and gesture recognition and the resistive sensors being used for pressure sensitivity. Placing these sensors in the band instead of the watch face improves visibility as well, since the screen won’t be obscured by the user touching the screen.

[Josh] originally intended this type of watch to be used for those with prosthetics or other disabilities which would limit the ability to use standard watch buttons or interact with a touch screen on the watch face itself. The device is working quite well as can be seen in the video linked below, but is still in the prototyping phase and under active development. For finishing up the final versions, we’d recommend taking a look at the design of these open-source smart watches for their high quality fit and finish.

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A wristwatch based on a red PCB with seven-segment LCD screens

The Time Machine Mk. 8 Is A Sleek Smartwatch With Retro Styling

The primary purpose of a wristwatch is to tell the time, which pretty much any watch does perfectly fine. It’s in the aesthetics, as well as features other than time-telling, where a watchmaker can really make their product stand out from the rest. Watchmaker and electronic artist [Eric Min] focused on those two areas when he designed the Time Machine Mk.8, which combines exquisite design with simple, offline smartwatch functionality.

The heart of the watch is a Microchip ATSAMD21G18 low-power 32-bit microcontroller. [Eric] chose it for its high performance, ease of use and large number of integrated peripherals, a real-time clock being one of them. With the basic clock function thus taken care of, he then decided to add several useful sensors: a battery fuel gauge to keep an eye on the 40 mAh rechargeable lithium cell, a three-axis accelerometer to enable motion sensing and an environmental sensor to track temperature, humidity and pressure.

A faux 1980s magazine ad for a red PCB wristwatchThe various functions are operated using four pushbuttons along with a 16-step rotary encoder set in the middle. The overall design of the watch is inspired by Formula 1 steering wheels, as well as various sports cars and media franchises like Neon Genesis Evangelion and Akira. [Eric] considered a few different options for the display but eventually settled on two four-digit seven-segment LCDs, which fit nicely into the retro-futuristic aesthetic of the Mk.8. It’s so retro, in fact, that it almost makes [Eric]’s faux 1980s magazine ad look genuine.

All components neatly fit together on a dual-layer PCB, which is a true work of art in itself. From the lightning bolt on the front to the hidden Frank Sinatra lyrics, it definitely stands out from the crowd of ordinary LCD wristwatches. It’s also quite a step up from [Eric]’s previous watch design, the Time Machine Mk.IV.

Over the years we’ve seen several other examples of how a bare PCB, or even a stack of them, can become a beautiful wristwatch.

Apple Invent The Mechanical Watch

The Apple Watch has been on the market for long enough that its earlier iterations are now unsupported. Where some see little more than e-waste others see an opportunity, as has [NanoRobotGeek] with this mechanical watch conversion on a first-generation model.

What makes this build so special is its attention to detail. Into the Apple Watchcase has gone a Seiko movement, but it hasn’t merely been dropped into place. It uses the original Apple watch stem which is offset, so he’s had to create a linkage and a tiny pulley system to transfer the forces from one to the other. The rotor is custom-machined with am Apple logo, and the new watch face is a piece of laser-cut and heat treated zirconium. Even the watch movement itself needed a small modification to weaken the stem spring and allow the linkage to operate it.

The build is a long one with many steps, and we’re being honest when we say it would put our meager tiny machining skills to an extreme test. Sit down and take your time reading it, it really is a treat. Apple Watches may head to the tip after five years, but not this one!

See more in the video below the break, and of course long-time readers may remember we’ve considered the Apple Watch versus mechanical watches before.

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Chatting About The State Of Hacker-Friendly AR Gear

There are many in the hacker community who would love to experiment with augmented reality (AR), but the hardware landscape isn’t exactly overflowing with options that align with our goals and priorities. Commercial offerings, from Google’s Glass to the Microsoft HoloLens and Magic Leap 2 are largely targeting medical and aerospace customers, and have price tags to match. On the hobbyist side of the budgetary spectrum we’re left with various headsets that let you slot in a standard smartphone, but like their virtual reality (VR) counterparts, they can hardly compare with purpose-built gear.

But there’s hope — Brilliant Labs are working on AR devices that tick all of our boxes: affordable, easy to interface with, and best of all, developed to be as open as possible from the start. Admittedly their first product, Monocle, it somewhat simplistic compared to what the Big Players are offering. But for our money, we’d much rather have something that’s built to be hacked and experimented with. What good is all the latest features and capabilities when you can’t even get your hands on the official SDK?

This week we invited Brilliant Lab’s Head of Engineering Raj Nakaraja to the Hack Chat to talk about AR, Monocle, and the future of open source in this space that’s dominated by proprietary hardware and software.

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Smart Pants Sound Alarm When Your Fly Is Undone

It’s always embarrassing to be told your fly is down. Even moreso when you realize it’s been that way since you returned from the bathroom an hour ago. [Guy Dupont] has built a device to solve this awkward issue once and for all. (Nitter)

Pictured: The Hall effect sensor and magnet attached to the zipper.

The pants contain a Hall effect sensor which has been attached inside the fly of the jeans, at the bottom of the zipper. The zipper pull itself was then fitted with a strong magnet, which triggers the sensor when the zipper is in the open position. An ESP32 in the pocket of the jeans is tasked with monitoring the sensor. If it detects that the zipper has been down for too long, it sends a notification to the wearer’s smartphone to zip up. We kind of wish they’d sound an ear-splitting klaxon, but that might draw undesired attention to the wearer.

Zipper position monitoring seems like a nightmare at first, but [Guy]’s hack shows us that it’s actually trivial with this method. The system does, however, add significant complication to what was previously a totally-analog pair of pants. Don’t expect “Big Jeans” to jump on this tech, as maintenance and waterproofing issues would likely make the hardware a pain to deal with in real life.

Plus, just imagine the frustration every morning. “Sorry, mate, not ready to head out yet – I’ve gotta pair my jeans with my smartphone.”

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Custom Glove Guides Wearers’ Dreams

For as much advancement as humanity has made in modern medicine even in the last century alone, there’s still plenty we don’t understand about the human body. That’s particularly true of the brain, where something as common as dreams are the subject of active debate about their fundamental nature, if they serve any purpose, and where they originate. One research team is hoping to probe a little further into this mystery, and has designed a special glove to help reach a little deeper into the subconscious brain.

The glove, called Dormio, has a number of sensors and feedback mechanisms which researchers hope will help explore the connection between dreaming and creativity. Volunteers were allowed to take a nap while wearing the glove, which can detect the moment they began entering a specific stage of sleep. At that point, the device would provide an audio cue to seed an idea into the dreams, in this case specifically prompting the sleeper to think about trees. Upon awakening, all reported dreaming about trees specifically, and also demonstrated increased creativity in tests compared to control groups.

While this might not have the most obvious of implications, opening the brain up to being receptive of more creative ideas can have practical effects beyond the production of art or music. For example, the researchers are also investigating whether the glove can help individuals with post-traumatic stress disorder manage nightmares. From a technical perspective this glove isn’t much different from some other devices we’ve seen before, and replicating one to perform similar functions might be possible for most of us willing to experiment on ourselves.

Hackaday Prize 2023: Finger Tracking Via Muscle Sensors

Whether you want to build a computer interface device, or control a prosthetic hand, having some idea of a user’s finger movements can be useful. The OpenMuscle finger tracking sensor can offer the data you need, and it’s a device you can readily build in your own workshop.

The device consists of a wrist cuff that mounts twelve pressure sensors, arranged radially about the forearm. The pressure sensors are a custom design, using magnets, hall effect senors, and springs to detect the motion of the muscles in the vicinity of the wrist.

We first looked at this project last year, and since then, it’s advanced in leaps and bounds. The basic data from the pressure sensors now feeds into a trained machine learning model, which then predicts the user’s actual finger movements. The long-term goal is to create a device that can control prosthetic hands based on muscle contractions in the forearm. Ideally, this would be super-intuitive to use, requiring a minimum of practice and training for the end user.

It’s great to see machine learning combined with innovative mechanical design to serve a real need. We can’t wait to see where the OpenMuscle project goes next.

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