Fitness Trackers Don’t Have To Be Proprietary

Fitness trackers have become a popular piece of consumer electronic equipment, with a range of models from a variety of manufacturers. Many of these commercial offerings, however, leave the consumer with the prospect of their data being drawn off to a cloud server and sold to the highest bidder, trading convenience for a loss of privacy. If only there were a fitness tracker offering complete control!

The OpenHAK is an open-source fitness tracker in a 3D printed wristwatch case that measures your heart rate and counts your steps, offering the resultant data for you to collect via Bluetooth. At its heart is a Sparkfun Simblee module, with heart rate sensing through a Maxim MAX30101 and step counting .by a Bocsh BMI160. It’s designed for expandability from the start with a header bringing out useful interface lines. In the prototype, they’ve used this to support a small OLED display. The result is a fitness tracker watch that may not match some of the well-known proprietary devices, but which remains completely open and probably costs a lot less too.

We’ve seen quite a few fitness tracker apps over the years, including a conversion to an EEG, and custom firmware for some commercial trackers.

From An Eye To An Eye: Human Muscles As A Joystick

The interface between humans and machines has been a constantly evolving field. Sure the computer mouse was a game-changer, but time moves on. We are now looking at integrating machines via soft HMIs for personal applications. A research team led by the University of California, San Diego has presented a paper interfacing a soft lens with the human eye.

The lens itself is a pair of electroactive elastomer films that encapsulates a small quantity of saltwater. These films constitute the muscle and are controlled by an external source of electrical pulses. The signals are generated when electrodes placed around the eye of a subject and detect movement. Actions such as blinking are converted to a zoom-in-zoom-out activity which is designed to mimic human squinting.

The suggested potential applications are visual prostheses, adjustable glasses, VR, and even soft robots eyes. Yes, we are heading from whirring robots to squishy robots, but that also means that people with disabilities can get a second chance. This approach is non-invasive as opposed to brain implants.

[via Phys.org]

[Thanks for the tip Qes]

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CPAP Monitor Alerts Wearer To Malfunctions

Continuous Positive Airway Pressure machines are a common treatment tool for sleep apnea and other respiratory issues. A common problem with their use is that the mask becomes dislodged during sleep, and thus fails to provide airway pressure to the patient. [Bin Sun] decided to take a stab at solving this problem.

The project consists of an Arduino fitted with a MPXV7002DP pressure sensor. The sensor is used to monitor the pressure in the CPAP pipes. If the pressure varies regularly, it is likely the system is working. If however, the pressure remains at a roughly constant level, that suggests the mask is no longer properly fitted to the wearer, or that there is another problem. In this event, the device sounds a buzzer to wake the wearer, alerting them to check the equipment.

It’s a simple solution to the problem, and something we’re surprised isn’t built into most CPAP machines from the factory. It’s important to be careful before modifying any medical equipment, though we see plenty of hackers taking the plunge to innovate in this area.

Brain-Computer Interfaces: Separating Fact From Fiction On Musk’s Brain Implant Claims

When it comes to something as futuristic-sounding as brain-computer interfaces (BCI), our collective minds tend to zip straight to scenes from countless movies, comics, and other works of science-fiction (including more dystopian scenarios). Our mind’s eye fills with everything from the Borg and neural interfaces of Star Trek, to the neural recording devices with parent-controlled blocking features from Black Mirror, and of course the enslavement of the human race by machines in The Matrix.

And now there’s this Elon Musk guy, proclaiming that he’ll be wiring up people’s brains to computers starting next year, as part of this other company of his: Neuralink. Here the promises and imaginings are truly straight from the realm of sci-fi, ranging from ‘reading and writing’ to the brain, curing brain diseases and merging human minds with artificial intelligence. How much of this is just investor speak? Please join us as we take a look at BCIs, neuroprosthetics and what we can expect of these technologies in the coming years.

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3D Printed Prosthesis Reads Your Mind, Sees With Its Hand

Hobbyist electronics and robotics are getting cheaper and easier to build as time moves on, and one advantage of that is the possibility of affordable prosthetics. A great example is this transhumeral prosthesis from [Duy], his entry for this year’s Hackaday Prize.

Side views of the 3D printed prosthesis arm.With ten degrees of freedom, including individual fingers, two axes for the thumb and enough wrist movement for the hand to wave with, this is already a pretty impressive robotics build in and of itself. The features don’t stop there however. The entire prosthesis is modular and can be used in different configurations, and it’s all 3D printed for ease of customization and manufacturing. Along with the myoelectric sensor which is how these prostheses are usually controlled, [Duy] also designed the hand to be controlled with computer vision and brain-controlled interfaces.

The palm of the hand has a camera embedded in it, and by passing that feed through CV software the hand can recognize and track objects the user moves it close to. This makes it easier to grab onto them, since the different gripping patterns required for each object can be programmed into the Raspberry Pi controlling the actuators. Because the alpha-wave BCI may not offer enough discernment for a full range of movement of each finger, this is where computer aid can help the prosthesis feel more natural to the user.

We’ve seen a fair amount of creative custom prostheses here, like this one which uses AI to allow the user to play music with it, and this one which gives its user a tattoo machine for an appendage.

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An Arduino Sickbay Display Worthy Of The Enterprise

The various displays and interfaces in Star Trek, especially The Original Series, were intentionally designed to be obtuse and overly complex so they would appear futuristic to the audience. If you can figure out how Sulu was able to fly the Enterprise with an array of unlabeled buttons and rocker switches, we’d love to hear it. But one area of the ship where this abstract design aesthetic was backed off a bit was sickbay, as presumably they wanted the audience to be able to understand at a glance whether or not Kirk or Spock were going to pull through their latest brush with death (spoilers: they’re fine).

For his latest project, [XTronical] has recreated the classic displays from Dr McCoy’s sickbay with an Arduino Nano and a 2.8 inch LCD display. It even has a speaker and MP3 player module to recreate the “heartbeat” sound from the original show. The whole thing looks and sounds phenomenal, and would be a perfect desk toy for the classic Trek aficionado. But this isn’t just a toy, it’s a fully functional medical scanner.

Of course, this little gadget can’t tell you if you’ve come down with a nasty case of Rigellian fever, but it can read your vitals using a MAX30100 pulse oximeter module and DS18B20 thermometer. In fact, it actually has two DS18B20 sensors: one to measure ambient temperature, the other to measure skin temperature. With those two figures, [XTronical] says it can calculate your core body temperature. The only thing that’s made up is the blinking “Respiration” indicator, that one’s just an estimate.

So where do we go from here? This project is presented as merely the first step in building a complete prop, perhaps in the form of a medical tricorder. We’ve seen some phenomenal TOS tricorder builds over the years, and some have even used the Raspberry Pi to shoehorn a bit of functionality into them. [XTronical] says he’s working on getting the source code and a step-by-step build guide put together, so keep an eye out for that in the near future.

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Virtual Reality For Alzheimer’s Detection

You may think of Alzheimer’s as a disease of the elderly, but the truth is people who suffer from it have had it for years — sometimes decades — before they notice. Early detection can help doctors minimize the impact the condition has on your brain, so there’s starting to be an emphasis on testing middle-aged adults for the earliest signs of the illness. It turns out that one of the first noticeable symptoms is a decline in your ability to navigate. [Dennis Chan] at Cambridge Biomedical Research Centre and his team are now using virtual reality to determine how well people can navigate as a way to assess Alzheimer’s earlier than is possible with other techniques.

Current tests mostly measure your ability to remember things, but by the time that’s a problem, things have often progressed. The test has the subject walk to different cones and remember their locations, and has already proven more effective than the standard test.

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