Wearable Data Analytics Bring Humans into the IoT

There are many ways in which data analytics can provide this added layer of insight. These include providing healthcare professionals with analysis into health data collected from a large number of patients, providing them with anticipatory information on which patients may require immediate assistance; providing consumers, athletes, and workers with insight into their fitness and activity, allowing them to improve their levels or style; providing companies with the ability to understand workflow and determine how to improve productivity; and even providing law firms with analysis of claimant activity levels after an injury to determine if their levels are reduced. Companies such as Catapult Sports, Emu Analytics, Sentrian, and Vivametrica provide these analytical capabilities.  

There are many ways in which data analytics can provide this added layer of insight. These include providing healthcare professionals with analysis into health data collected from a large number of patients, providing them with anticipatory information on which patients may require immediate assistance; providing consumers, athletes, and workers with insight into their fitness and activity, allowing them to improve their levels or style; providing companies with the ability to understand workflow and determine how to improve productivity; and even providing law firms with analysis of claimant activity levels after an injury to determine if their levels are reduced. Companies such as Catapult Sports, Emu Analytics, Sentrian, and Vivametrica provide these analytical capabilities.  

Some wearable companies provide data analysis for their devices. For example, communications equipment company Plantronics offers a number of analytical features along with its hearables. The analysis is used to determine the distribution of devices, usage patterns, quality of conversations, and acoustic events. With acoustic events, such as an extremely loud noise, the analysis is used to determine if a damaging acoustic event has occurred or not after an employee has raised a complaint. Without this analysis, the employee would automatically be permitted to have time off, but the analysis helps to prove whether the acoustic event occurred, which helps to reduce the number of false claims.

"Raw data from wearable devices can often be overwhelming, providing the user, healthcare professional, or company with far too much information that doesn't have any real meaning," concludes Lawrence. "With access to data analytics, this information becomes much more meaningful, allowing the user, healthcare professional, or company to take action. In the wider IoT market view, wearables provide a human-centric data source—a valuable asset for efficiency and safety improvements in the workforce."

These findings are from ABI Research's Wearable Data Analytics and Business Models report. These reports are part of the company's Wearables, Usables, and Expendables  research service, which includes research, data, and analyst insights. 

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