Figure 1 Self-explanatory: NY parties the most, and surprise, Las Vegas the least. The explanation is simple: That’s because Sleeptracker users in Vegas actually work in Vegas and are not visiting to party. In our little piece of paradise in Santa Cruz, SurfCity, we tend to go to bed early to catch the surf in the morning before work.
Figure 2 is about heart rate and the effects of alcohol on sleep. After studying millions of nights of sleep we noticed that alcohol pumps up heart rates significantly. We can see this here when on NYE, people tend to drink more. And guess what: The younger crowd drinks much more and heartrate gets significantly affected.
Philippe Kahn founded Borland, Starfish Software, LightSurf, and Fullpower Technologies. He talks to Leo Laporte about writing Turbo Pascal, inventing the first cameraphone during the birth of his daughter, and the data-driven science of sleep tech.
Congratulations Michael, Jeffrey and Michael for your unveiling of the molecular mechanisms that control the circadian rhythm.
Yes, our three science heroes have figured out that while we sleep our “protein batteries” get recharged and during the day our “protein batteries” get depleted. It all seems to work in rhythmic patterns timed by the rotation of planet earth. That’s the molecular-biologists’ confirmation of what the data shows, analyzing millions of night of sleep with the Sleeptracker deep learning solution among other things.
Further, the data shows that in eachsleep cycle, each phase of sleep (deep, light and REM), is essential and contributes to regeneration. With every complete sleep cycle, the mind, body and soul get regenerated. On average, for Ms. and Mr. Everyone it takes a total of four sleep cycles to get reasonably recharged and to perform emotionally, intellectually and physically the next day. Using a car as an analogy, think of deep sleep as the engine, light sleep as the body, and REM as the wheels. You need them all, equally, cyclicly, and multiple times during one night, or in separate naps.
From an evolutionary standpoint, genetic research has now established that 25% of us are night owls and perform best at night, 50% are morning larks, and the rest can perform both as owls and larks. What a fantastic opportunity to help Ms. and Mr. Everyone sleep better!
Again congratulations Michael, Jeffrey and Michael for your unveiling of the molecular mechanisms that control the circadian rhythms and for winning the Nobel prize.
In a nutshell, the Sleeptracker® Monitor is about small day-to-day non-invasive improvements for Ms. and Mr. Everyone using the principles of CBM (Cognitive Behavioral Modification) that add-up over time to improved sleep in the comfort of one’s home. Polysomnography (PSG) is about wearing a battery of sensors and monitors for diagnosing potentially life-threatening sleep disorders such as severe apnea in one or more sessions in a sleep lab. Both PSG and the Sleeptracker® Monitor are complementary and “compatible.” Big data and AI are what drive the innovation in the Sleeptracker® Monitor.
The Sleeptracker system is focused on Cognitive Behavioral Modification and understanding what simple practical matters impact our daily sleep. The idea is to improve sleep for Ms. and Mr. Everyone with small adaptations suggested by AI working with big data sets. With millions of users and millions of nights of sleep to draw from, the Sleeptracker AI engine helps to give us immediately actionable personal insights as to what impacts a night of sleep. The AI engine observes short, medium, and long-term personal daily sleep patterns and compares the Sleeptracker user to hundreds of thousands of people “just like me” to provide actionable personal insights. Through this process, the Sleeptracker user can experience and quantify for themselves the effects of making measured changes to their sleep routine. The data show key impacts to our sleep quality are directly tied to daily exercise, proximity of meals to bed-time, alcohol consumption and stress. These behaviors which directly affect sleep are handled privately, confidentially and securely for the purpose of understanding and further improving using the principles of CBM. Throughout the night, and completely non-invasively, the Sleeptracker® Monitor continuously monitors breathing rate, heart rate, motion, wake-up and out-of-bed events. In time, monitoring will expand to include air quality, ambient noise and temperature of the sleeping environment to provide greater insight into environmental impacts to one’s sleep. For example, sleeping with a partner, pets on the bed and the impact of children on sleep are important factors which the Sleeptracker AI-engine takes into account. With CBM, the AI-powered coaching agent suggests simple actionable tips that help improve sleep for Ms. and Mr. Everyone, a little at a time.
By contrast, Polysomnography (PSG) is focused in today’s medical world in identifying candidates for CPAP machines. That’s very important and probably the most actionable matter that is derived from PSG study as sleep apnea is a potentially life-threatening condition. One must remember, the Heisenberg Uncertainly Principle (HUP) shows the measuring apparatus of an experiment impacts the outcome of the experiment. Anyone who has participated in a polysomnography study knows how invasive PSG can be to sleep. In fact, often the PSG requires patients be monitored multiple nights to obtain a clear understanding of their tendency to apnea due to the invasive nature of the equipment and restlessness from not sleeping in one’s home environment. Most agree that an important part of sleep hygiene is a consistent schedule and conducive sleep environment. Diagnosing apnea and the prescription of CPAP machines is a multibillion-dollar business and of course is indispensable to those diagnosed. The Sleeptracker® Monitor is meant to be a complimentary product to PSG and not meant to diagnose, but to provide insight into sleep patterns and the measured changes one can make to improve one’s sleep routine.
Correlation of the Sleeptracker® Monitor to Polysomnography is accomplished through a fully operational onsite PSG lab staffed by a licensed sleep specialist. While the focus is on CBM rather than diagnosing apnea, this ongoing calibration ensures the Sleeptracker® Monitor delivers greater than 90% accuracy compared to invasive sleep monitoring. Accuracy is focused on time to fall asleep, sleep efficiency, wake-up events, respiration rates, heart rates and REM sleep.
We’d be happy to have you try the Fullpower sleep lab for a complete free and confidential sleep study if you’d like. Here is an article by Fortune magazine that is two years old and describes our sleep lab and how we use it: http://fortune.com/2015/06/29/sleep-data/
In conclusion, as the data sets grow with Fullpower’s advanced AI methodologies, we learn more and more about our sleep and how the quality of our sleep compares to “people just like me” in a non-invasive sleep environment. Using CBM, we make small modifications that help significantly improve our sleep and health over time. For severe sleep disorders, PSG and a trained MD are key for prescribing a CPAP machine and treating the sleep disorders. For everything else, the Sleeptracker® Monitor offers valuable insight and actionable coaching into one’s sleep routine for a better night’s sleep.
The fantastic team of Fullpower Scientists, using the AI-powered Sleeptracker® platform to analyze several millions of nights of sleep from millions of individuals worldwide, dating all the way back to 2011 find that:
– 23% of sleepers are Owls (perform best in the evening)
– 28% Larks (perform best in the morning)
– 49% are pretty much able to perform in the morning, or the evening either way
Morning vs Evening Person: Lark vs Owl
Yes, it’s genetic. If you are not a morning person and can’t fall asleep before late at night or if you love getting up at 6am and feel sleepy by 9pm, it’s not your fault, you may be genetically a night Owl or a morning Lark. No matter where you stand in both of those extremes, it may simply be genetic.
Humans adapt. We’ve evolved from Paleolithic ages by adapting to changes. Yet we are genetically programmed to perform the best in some particular circumstances. The latest research shows a genetic link to being a night Owl or a morning Lark.
A team led by Daniel Katzenberg at Stanford University looked at 410 randomly selected adults to assess their tendencies as morning Larks or night Owls. Among other things they took blood samples and looked at the gene named “Clock.” They concluded that the Larks bio clock was up to one hour ahead on the average to the one of the Owls. https://www.ncbi.nlm.nih.gov/pubmed/9779516
It seems that the world population is made out of one quarter of Night Owls and one quarter of Morning Larks. The remaining half of the population seems to perform equally well at sunrise or sunset. The challenge is that our modern society tends to force everyone to a schedule inherited from the early days of the industrial revolution. This in turn means that there is about 25% of the population that may not perform optimally on a recommended “modern schedule.” You can think of it as lefties being forced to be right handed. Although as humans we can adapt to being ambidextrous, it’s not comfortable. If Kelly Slater were forced to be goofy footed, would he still be the greatest surfer? https://www.surfertoday.com/surfing/7527-the-best-goofy-footers-of-all-time
Especially if you are night Owl, society and social life and work schedules may impose stress. Of course, it is always possible to adapt. But it is not advised to change sleeper type. Be a proud Owl or Lark. Don’t force unnatural adaptation. Lefties should be happy lefties and Kelly Slater should not be forced to compete goofy-footed.
SAN FRANCISCO, July 25, 2017 /PRNewswire/ — The short film, “1997: The Birth of the Camera Phone,” has been selected as both a Vimeo Staff Pick and as a featured film on the Short of the Week website. Created by Conscious Minds, the film depicts how technology innovator Philippe Kahn (currently CEO of Fullpower Technologies) instantly shared the first camera phone photo of the birth of his daughter. That iconic photo was included in Time Magazine’s 2016 list of the 100 most influential photos of all time.
“I was fascinated by the rather odd story of that day in the hospital when all the components of his project finally came together,” said Jonathan Ignatius Green, the director of the film. “It seemed like a true story that you wouldn’t believe if you saw it in a movie. That’s my favorite kind.”
“While we didn’t even realize the Conscious Minds team had created the film until we saw the final product, it captures that momentous day amazingly well,” said Kahn, the creator of the camera phone. “It is a great honor to have this film chosen as short-of-the-week and to reflect twenty years later how the camera phone has been a game changer for society in so many ways.”
Philippe Kahn is currently CEO of Fullpower Technologies, a startup focused on improving sleep through the AI-powered cloud-based IoT Sleeptracker® platform that has been commercially deployed by three leading bedding brands, Beautyrest, Serta, and Tomorrow Sleep.
More information and previous films from Conscious Minds can be found on their website at http://www.weare.cm.
About Fullpower Technologies, Inc.
Fullpower is the leader for cloud-based IoT smart-home and wearable solutions powered by AI, machine-learning and data science. With more than 125 patents, the Fullpower IP portfolio covers the AI-powered Sleeptracker® and the MotionX® IoT technology platforms. Fullpower’s business model is to license technology and IP as a PaaS to brand leaders such as Nike, Beautyrest®, Serta®, Movado® and others. Founded by Philippe Kahn, creator of the first camera phone, and based in Silicon Valley, the Fullpower team is passionate about AI, machine learning, IoT and PII.
Fullpower Technologies, Inc.
Sharing photos from a phone is easy as breathing these days, and we have Philippe Khan to thank for paving the way. In June 1997, he achieved a technological first that would be repeated countless times in the following decades: he shared a digital photo instantly.
Philippe Kahn may not be a name you’re familiar with (or maybe you are) but his contributions to early mobile technology and social media are difficult to overlook.
It was 20 years ago this past Sunday – June 11, 1997, to be exact – that Kahn snapped a photo of his just-born daughter Sophie with a mobile phone and shared it over the Internet with around 2,000 friends, family and business connections.
Twenty years ago, at the Sutter Maternity Center in Santa Cruz, Calif., while his wife was in labor, Philippe Kahn hacked together a Motorola StarTAC flip phone, a Casio QV digital camera that took 320 by 240 pixel images, and a Toshiba 430CDT laptop computer. When he took a picture with the camera, the system would automatically dial up his Web server and upload the picture to it at 1200 baud. The server would send email alerts to a list of friends and family, who could then log on and view the photo.
It wasn’t a brand new concept for Kahn; he’d spent about a year working on a Web-based infrastructure that he called Picture Mail. Picture Mail would do what we now call “sharing”—that is, one user would upload a photo and text, designated as something to share with a particular list of contacts (say, “friends,” “family,” or “colleagues”). The system would send email notifications to everyone at that list, directing them to visit the host Web page to view the picture. Kahn says he was aiming to be the Polaroid of the 21st century, providing “Instant Picture Mail” that would be a digital update of Polaroid’s vision of the instant camera.
What he hadn’t gotten around to building was the consumer hardware piece of the puzzle. Photography wasn’t going to be instant if you had to hook your camera up to your computer and go to a particular website every time you took a picture.
“I had always wanted to have this all working in time to share my daughter’s birth photo,” Kahn recalls, “but I wasn’t sure I was going to make it.”
Thanks to his wife spending 18 hours in labor at the local maternity center, he had a little time to build the prototype. He realized he had most of what he needed with him—in particular, the phone’s car kit, including a plug that allowed the phone to connect to a car speaker system. For the rest of what he needed, he asked an assistant to make a run to Radio Shack and drop off the additional gear at the hospital.
“It’s always the case that if it weren’t for the last minute, nothing would ever get done,” Kahn says.
Kahn got it working before the baby came, and 11 June 1997 has gone down in history as the birth of a whole new world.
Some call this milestone the beginning of the camera phone. It’s not exactly that; Kahn acknowledges that others had put photo sensors in phones before. And it’s also not the first time someone sent someone else a digital photo on the Internet. But it was the first time that a photo went from one person to a broad list of his friends and family members instantly, with just a touch of a button. Kahn now calls the milestone Instant Share, and points out that this is the way social media still works today—you upload an image once to a site that stores it, and then notifications are broadcast and people follow a link back to the stored image.
Today, of course, instant sharing of photos—evolving to videos—is everywhere. It’s the idea behind Snapchat, Instagram, and Facebook Live. It has changed the way we connect with our friends and the world, and changed the way we experience things. For many, it’s hard to put the phone down and watch something interesting without sharing an image. Camera phones have even spawned dystopian visions of a world in which everything is shared, as in “The Circle.”
All this, looking back, seemed to grow organically. But, according to Kahn, that wasn’t exactly the case. He had to do a lot of plowing to prepare the soil, to extend the metaphor.
“After the baby,” he says, “I spent the next month integrating the design, using a microcontroller, a CMOS sensor, and a phone.” In early 1998, he founded a company around the technology, Lightsurf, and eventually received a handful of patents on the work, he recalls.
He took the technology, he says, “to Kodak, Polaroid, and [other camera companies]; they all had wireless camera projects, but none of them could imagine that the future was digital photography inside the phone, with Instant-Picture-Mail software and service infrastructure. They collectively came to the conclusion that phones would be focused on voice—this was before texting—and that cameras would become wireless.”
Having struck out in the U.S., Kahn moved on to pitch Japanese companies. He had no luck with dominant mobile phone service provider Docomo, but found enthusiasm at J-Phone. J-Phone, he says, then brought in Sharp to design their “Sha-Mail” (translated as “Picture-Mail”) phone, and the product was a success.
Back in the U.S., Wired magazine covered Kahn and LightSurf, prompting Sprint to contact him; Sprint worked with LightSurf and Casio to launch the first U.S. camera phone in 2002.
Even from the early days, Kahn says, he had a sense that instant photo sharing really was going to change the world. “Citizen journalism immediately came to mind; we were documenting the birth of my daughter, but that was just the beginning.” He believed that other, more political events would be documented, “and it has happened. People can’t hide things anymore. There is always someone with a camera phone taking a video; people can’t just claim that something didn’t happen.”
Bob Parks, who interviewed Kahn for the Wired article in 2000, confirms Kahn’s prescience. Parks says: “He was telling me things like, ‘In the future people will document crimes using video on their phones. Then everyone will know the real story.’ At the time I was skeptical. I thought, ‘OK, guy, I guess we’ll see how that works out.’”
For Kahn personally, the invention worked out quite well: LightSurf was acquired by Verisign in 2005 for approximately $270 million, the intellectual property scattered in later sales and, Kahn said, was tussled over in courts. Kahn is no longer involved with the technology—he has a new startup, FullPower Technologies, that has developed under-the-mattress sensors and cloud based artificial intelligence to gather data and personalize recommendations to help customers improve their sleep. But he’s thrilled watching phone-based photo sharing explode around the world.
“If you go to Africa, people don’t have laptops. They have phones with cameras and they do everything with them—sell things, buy things, telemedicine. If a person’s house burns down these days, their pictures aren’t lost, their memories are stored in the cloud. I see tourists with selfie-sticks and I think it’s fantastic, the more cameras the better. It’s a fantastic power to be in the hands of Mr. and Mrs. Everyone.”
And that rush to cobble together a prototype in the maternity room? Absolutely worth it, Kahn says: “The picture of my daughter’s birth was a magical, unique, instant moment and worth a million words.”
(Kahn narrates a reenactment of the birth in the video below; the building of the prototype starts at 1:35.)