Tag Archives: fitbit

The little smart watch that could: A pebble love story

If you’ve ever wondered what the geekiest gadget is to own you may get a few different responses. Maybe its a drone, maybe its a ringtone that is an anime intro song, but for a lot of tech nerds it was the Pebble watch.

Why do gadget heads love it so much? Well, Back in 2012 Pebble did a kickstarter campaign to fund the would-be watch company. It ended up being the most funded kickstarter ever. And geeks love a good kickstarter story. It’s the nerd version of David vs. Goliath.

But we also loved the technology behind it. Pebble watches were always water resistant. The battery life was about a week. The display is a e-paper display, and tech savvy people love discussing how much they love e-paper displays. Looking at the first generation apple watch, pebble had more battery life (7x more, actually), it had swimming support, and it did it all years before anyone else did.

By far, pebble watches have the most battery life compared to other popular watches

Pebble’s starting price is half of the next best watch AND has more battery life and swimming support.

Pebble and the Apple Watch 2 are the only watches on this list with swimming support. Remember that this is the basic pebble time watch. The pebble time 2 + heart rate has even more athletic support

Pebble was the under dog that never stopped impressing.

It’s app store had 1000 applications. That’s a ton for the little smart watch that could. You could attach the time piece to your bike and it would track your speed. The pebble watch 2 with heart rate could track your sleep schedule and calories (full disclosure, I bought one of these yesterday and am currently waiting for it to come via snail mail). It vibrates when you get a text or email; and unlike the latest and greatest Fitbit Charge 2, you can respond to text messages from the watch! All while maintaining incredible battery life.

Back in 2016, pebble was bought out by fitbit. A worthy adversary. And for a company that was primarily funded via kickstarter, it was an entrepreneurs’ dream. This means that pebble is selling off all of their inventory, so get yourself a pebble watch before they go away forever. Then you too can have the geekiest gadget around.

Good bye Pebble. You were dearly loved.

Fitbit, Machine Learning, and Sleep Optimization


Photo: Fitbit Blog

My big present for Christmas this year was a Fitbit Charge 2. I’d wanted one for a while, but not for anything Fitness related. While I do like to keep track of my active lifestyle choices, I didn’t desire one with fitness in mind at all. My model Fitbit’s key feature (the reason I ditched my reliable $10 Casio watch for it) is its heart rate monitor. The monitor on my Charge 2 takes the form of two green, rapidly flashing LED lights. Visually and technically, it’s similar to the light you may be familiar with seeing underneath an optical mouse. Instead of tracking motion, though, this light’s reflection keeps track of the subtle changes in my skin’s color as blood pumps in and drains from my capillaries. It sends the data on time between color changes to my phone, which sends the information through a proprietary algorithm to determine my heart rate. Other algorithms take into account my average heart rate and my lowest heart rate to calculate my resting heart rate (55).

But in the end, these are all just numbers. Some people (like me) just like having this data, but what can you actually do with it? Well, the Fitbit has another interesting feature. It uses your heart rate and motion information to determine when you’ve fallen asleep, when you’ve woken up, and whether you’re sleeping deeply or restlessly. I can check my phone every morning for a graphical representation of my sleep from the previous night, and determine how well I slept, how long I slept, and how my sleep fits in with my desired regular schedule (11:45 to 7:45). Kind of cool, right?

With a new market emphasis on machine learning, and sleep researchers making strides in answering fundamental questions, things are about to get a lot cooler.

Everybody has experienced miraculous three-hour slumbers that leave them feeling like they slept a full night, and heartbreaking ten-hour naps that make them question whether they slept at all. Although most of us consider those simple anomalies, scientists have caught on, and are actively studying this phenomenon. From what I’ve gleaned online, scientists that study sleep find that allowing a sleeping subject to complete REM cycles (lasting about 90 minutes, with variation) results in fuller and more restoring sleep. In other words, 7 hours and 30 minutes can result in a better sleep than a full 8 hours. It sounds like quackery, but the evidence is widely available, peer-reviewed, and convincing to the layperson.

Machine learning has been a buzzword for at least the past year. The concept itself is worthy of an entire post, but to summarize it for my purposes, it’s a broad term that refers to programming algorithms that adjust their behavior based on data input. For example, programs that predict what a customer wants to buy will show ads to that customer on a variety of platforms and decide where to show those ads more often, based on how much time the customer spends on each platform. Machine learning is essentially automating programs to use big data to improve their predictive or deductive capabilities.

Let’s bring this all together for a look into the future: If my Fitbit can keep track of my heartbeat to a precise enough degree to determine when I am in REM sleep — or can use an intelligent, learning-capable algorithm to set alarms that give me an optimal amount of sleep — I can have a personalized, automatic alarm that adapts to my habits and improves my quality of rest. Would that convince you to buy one?