This is the third post in a Wearable Industry Watch Series for each of the 10 Wearables Predictions. Follow this blog or Twitter handle @WorkTechWork to be notified of each part of the series. To view all predictions and links to the other parts of the series, visit the Wearable Industry Watch Series.
It goes without saying that part of the reason for the platform announcements covered in Who to Watch for Prediction #2 is that these companies are motivated to create these platforms because there is greater value created if multiple devices integrate. Machine to Machine (M2M) communication generates value because humans don’t have to be involved in passing information from one machine to another, something we used to do by hand, which was error prone, or with tapes and floppy disks, which was time consuming. With wearable devices, the additional value that results combining wearable device information is what I call Wearable Alpha. Wearable Alpha results when two wearables create more value for a user when integrated than when unintegrated. Additional Wearable Alpha is created if the two wearable devices are also integrated with other IoT devices and services.
While players in the wearable space, as well as the greater Internet of Things, should execute focused strategies leveraging their strengths to develop technology, players should not forget that integrated solutions will create more value than unintegrated solutions. Moreover, players should build business models that extract part of the Wearable Alpha to generate returns for shareholders and investors.
Wearable to Wearable Integrators:
Wearable devices are still nascent technologies, with years to go before the market is fully mature. We do not know today which wearable device solutions will be on the market in one year and new wearable solutions are coming out all the time. With so much change it is hard to find companies working to gather data from two separate wearable devices, let alone communicate between them.
Sensoria: People don’t usually wear more than one watch, but people do wear more than one article of clothing so some low hanging fruit in the multiple wearable space is smart clothing for fitness tracking. Sensoria Fitness Socks provide the most accuracy of any step counting wearable to also count altitude changes, distance and, more importantly for the expert runners, cadence, foot landing technique and weight distribution on the foot. Sensoria also produces a sports bra and a tshirt for heart rate monitoring. With smart socks and a heart rate monitor, an athlete is on the way to reaping the benefits of Wearable Alpha.
ThisPlace: ThisPlace created a software solution called MindRDR that combines the NeuroSky EEG brainwave sensor with Google Glass to control photo taking and sharing. In other words, you can take a picture and post it online just by thinking. Today there are only a few people who will benefit from the Wearable Alpha generated by this particular wearable to wearable integration scenario; however, this opens a whole plethora of opportunities for mind controlling IoT devices.
Sensum: Sensum provides a platform that integrates data streams from multiple wearable devices and health sensors to analyze the emotional response to events. This generates tremendous amounts of Wearable Alpha when analyzing marketing and other forms of digital media because now, instead of just watching responses through tinted windows and asking questions, observers can capture an accurate reading of emotional response.
Do you integrate sensor information from multiple wearable devices? If so, tell me about it in the comments below or reach out here and lets meet up and chat about your technology.
Wearable to Smart Phone Integration:
There are many solutions that connect a wearable device to the smart phone. The smart phone itself is becoming in some instances a hub with wearable devices connected to it and in other instances a stepping stone from wearable to cloud. Smart phones are being built with more and more sensors, some of the same sensors built into wearable devices. As mentioned in Who to Watch for Prediction #1, smart phones can run apps such as the Moves App and gather information from these sensors. For the “multiple sensors in multiple devices” portion of this prediction to be fulfilled with a smart phone integration, information generated from smart phone sensors must be used and result in Wearable Alpha. As of this posting, I have not found a company doing this. Do you integrate information from both wearable device and a smart phone sensors?
Next Prediction: Who to Watch For Prediction #4
Previous Prediction: Who to Watch for Prediction #2