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What Is Wearable Technology Data?

Wearable technology refers to any technology worn on the body that records data about the wearer.

Where Does Wearable Technology Data Come From?

The sources of wearable device data are the wearers themselves. However, the devices they use to record their data can be anything from watches to glasses to jewelry.

What Types of Columns/Attributes Should I Expect When Working with This Data?

Wearable technology records the wearer’s activity and biometrics. Depending on the device used, this may include such detailed information as mood, brainwaves, or blood sugar.

After recording the data, these devices then store it either in the devices themselves, in a cloud, or transmit it to another device, like a smartphone or computer. This transmission takes place with Bluetooth, WiFi, or mobile data.

What Is This Data Used For?

Most wearable technology is available for private commercial use, so individuals use the data to improve their lives in some way—for example, by increasing their daily activity or by sleeping more often. However, the healthcare field sees the most use of this data. In fact, many developers create and market wearable devices exclusively for medical use. Examples include devices that measure gait to predict Alzheimer’s or wearable dialysis machines.

Additional uses of wearable devices are in entertainment and industry. In these fields, eyewear is key. For example, VR and AR headsets provide interactive movies or games experiences. Meanwhile, many industries use glasses that allow wearers to see what’s in front of them but still have hands-free access to workplace software.

How Should I Test the Quality of Wearable Technology Data?

Wearable devices merely transmit data; the wearer’s biometrics are always valid. Therefore, the focus should be on ensuring the devices are sensitive, damage-resistant, have long battery life, and record and transmit data continuously.

Furthermore, these devices should have a simple user interface. That is, unless required for work, the device design must be intuitive enough that an ordinary person can pick it up and start using it right away. In short, if users don’t find the device user-friendly, they won’t use it and there won’t be any data to record.

Finally, privacy and security are concerns for this type of data. Encryption, authentication, and blockchain technologies all help here.

Interesting Case Studies and Blogs to Look Into

Engineering: How Is Google Glass Doing in Enterprise and Industrial Settings?
Voler Systems: Data Security Technologies for Securing Wearable Health Data

Tangible Examples of Impact

Researchers at the University of Colorado Boulder are developing a wearable electronic device that’s “really wearable”–a stretchy and fully-recyclable circuit board that’s inspired by, and sticks onto, human skin.

The team, led by Jianliang Xiao and Wei Zhang, describes its new “electronic skin” in a paper published today in the journal Science Advances. The device can heal itself, much like real skin. It also reliably performs a range of sensory tasks, from measuring the body temperature of users to tracking their daily step counts.

Science Codex: ‘Electronic skin’ promises cheap and recyclable alternative to wearable devices

Relevant datasets

IBM MarketScan Research Databases

by ibm-the-weather-company

IBM MarketScan Research Databases provides one of the oldest continually-updated collection of health claims data in the USA. Organizations use this data to prove their value to healthcare professionals, insurers, and private individuals.

The data includes drug claims, dental claims, lab results, hospital discharges, and EMR data for millions of people in the country. It also contains workplace productivity data, telling institutions how many workplaces absences they suffer and how many of their healthcare workers suffer disability due to their work. 

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Eyeota Audience Marketplace

by eyeota logo

Eyeota Audience Marketplace provides audience segments organized by demographics, geography, behavioral factors, psychological factors, seasonal events, and more. There are more than twenty audience categories for 4.5billion user profiles from all over the globe.

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