The Nexus of Forces in Action – Use-Case 8: Augmented Lifestyle Sensor Feedback
Summary
Platform data aggregation and sensor visualization feedback.
Primary Industry Sectors
Consumer products
Business Value
Reduce stress, improve quality of health, lifestyle enhancement, mobile access and remote usage of functionality, hands-free
Key Business Functions
Wearable technology to monitor body, environment, or other telemetry. Its aim is to create new user devices to augment lifestyles in context. It is typically not focused on precision measurements that are necessary and legally supported for medical level use, for example (see Use-Case 9: Augmented Patient Care Sensor Feedback). The business service is also linked to collaboration and social networks to create community feedback and added value experience, unlike medical systems that may be for clinician community use and private access of data by the patient.
Primary Actors
Retail consumer, wearable device manufacturer
Secondary Actors
Social network community of similar device users, lifestyle industry services; e.g., health club, energy drinks, health foods, marketing campaign channel manager, mobile device app management
Machine Actors
Wearable body sensor (accelerometer, heart rate, blood pressure, light-sensitive), GPS, mobile consumer lifestyle app, social networks, lifestyle behavior analytics, cloud, NFC, wireless, 3G, 4G, 5G
Key Technologies
Mobile device accelerometer and low-grade biosensors for heart rate and blood pressure indicator readings, app stores, cloud, social networks, analytics
Main Scenarios
- Wearable device data collection
- Data analysis platform
- Feedback – real-time to wearable device
Key Data
Master Data
Retail consumer personal physical profile and identity (e.g., height, weight, age), lifestyle activity preferences/exercise targets (e.g., sleep period, exercise period), mobile app record wearable technology session sync data. Manual entered data on activity and eating patterns. May also record biological data (e.g., heart rate, blood sugar, blood pressure). Security, privacy to share or opt out of sharing data with social community.
Current Observations Data
Date, time movement activity, identity of user
Historical Data
Physical movement frequency and distribution, eating patterns (manual data entry), exercise targets versus actual
Query Data
Sleep patterns versus population sample comparison, activity target for accumulative period – week, month, quarter comparisons, calories burnt. Send alert to user by vibration of smart phone to call and alert user to do exercise.
Action Taken Data
Score points for “good behavior”, change exercise and lifestyle target, modify sleep and eating pattern behavior.
Real Business Examples
Quantified Self
A forum for self-knowledge based on numbers. (See the Forum website.)
Jawbone “Up”
Mobile app for lifestyle with low energy Bluetooth sync with wristband sensor. (See the Jawbone product website.)
W/Me
Bluetooth-enabled rhythmic breathing coach that can also measure your autonomic nervous system. Its wristband incorporates a medical-grade sensor that works with your smart phone to help keep you physically and mentally healthy with integrated lifestyle and heart monitor. (See the W/Me video and the video from Kickstarter, who provided funding.)
Other Example Products
Plantronics, Liquipel, HzO, Intrinsyc, Intelligent Headset
Additional Considerations
Existing Interoperability Standards
Bluetooth Low Energy (BLE), Universal Serial Bus (USB)
Comments on Context
The option to be part of a social community sharing lifestyle data on weight, activity, etc. may provide examples of social support and reinforcement of behaviors.
Some of the new wearable lifestyle devices have been crowd funded; examples on Kickstarter.
Preconditions
- Preferences to opt in or opt out of sharing results on a wearable tech provider website and/or social network site; e.g., Twitter
- Link with mobile device and mobile app to collect and visualize the data and results recommendation engine