The Lumo Lift emerged as a classic “necessity is the mother of invention” situation: Chang was experiencing back problems, and Perkash suggested posture classes as one way to help resolve the problem. The company has leveraged Arm-powered technology and integrated SoC design techniques to deliver to the marketplace the Lumo Lift and Lumo Run wearable devices. In Lumo’s case, it’s a three-pronged approach. What matters is how that data gets turned into actionable feedback that customers find valuable for themselves and their end-users,” she says.īecause the IoT sector is bursting at the seams with competition, companies like Lumo are finding innovative ways to compete-ways that aren’t just about technology. They need to be digital to capture data about their customers and have a more intimate relationship with their customers, develop to their needs better, offer more personalized solutions,” Perkash says.īut data, in and of itself, is meaningless, she adds. “Companies are waking up and realizing they need an IoT strategy. To understand Lumo Bodytech’s technical approach, you first need an appreciation for the vision behind the company, because that filters all the way down to device design. There’s data and then there’s actionable data But as devices get smaller, more powerful and more power efficient, designers want to take advantage of those advances at the edge for performance gains and privacy improvements. No one argues the power of the cloud and how it’s transformed application and system design. “But there are opportunities in the short term because a lot of our products provide real-time feedback using machine learning.” “There is data that works well in the cloud, brute-force computing on macro-level statistics of users and behaviors,” Chang says.
Perkash and Chang co-founded Lumo Bodytech, a six-year-old, 30-person Internet of Things (IoT) startup that is not only shaking up the wearables market but pushing the boundaries of distributed intelligence with their designs. But if you want to see the latest wearables that are leveraging machine learning at the edge, say hello to Monisha Perkash, Andrew Chang and their colleagues. If you want to see the latest wearables, head to your local electronics or sporting goods store.
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