Wearable & Mobility Devices

Overview

Wearable Devices - Data Acquisition (examples):

• Health Monitoring: Wearable devices such as fitness trackers, smartwatches, and heart rate monitors can collect data on steps taken, heart rate, sleep patterns, and physical activity. This data can be used for personalized health insights and early detection of health issues.

• Environmental Sensors: Wearable sensors can measure air quality, temperature, humidity, and UV exposure. For instance, smart glasses could incorporate UV sensors to alert users when sun exposure is excessive.

• Location Tracking: Devices like smartwatches and GPS-enabled shoes can track location, which is useful for fitness tracking, navigation, and safety.

• Gesture Recognition: Smart gloves or wristbands can capture hand movements, enabling gesture-based control for applications like virtual reality or gaming.

• Emotional State Monitoring: Wearables can analyze physiological signals (such as skin conductance or heart rate variability) to infer emotional states.

Connectivity for Data Acquisition:

• Bluetooth: Bluetooth Low Energy (BLE) allows wearables to communicate with smartphones, other wearables, or IoT devices. It’s commonly used for health data exchange.

• WiFi: Wearables with WiFi connectivity can upload data to cloud servers, enabling remote monitoring and analysis.

• NFC (Near Field Communication): NFC can facilitate contactless data exchange, e.g., for payment transactions or access control.

• QR Codes: Wearables can scan QR codes to retrieve information or perform actions.

Data Sets for User Experience Enrichment:

• Biometric Data: Heart rate, sleep patterns, and stress levels can be used to predict health conditions or emotional states.

• Activity Logs: Data on movement, exercise, and sleep can inform personalized recommendations.

• Environmental Data: Air quality, temperature, and humidity data can be used for climate modeling or health risk assessment.

• Location Data: Geospatial data can help optimize transportation routes, urban planning, and emergency response.

• Social Interaction Data: Wearables with microphones or cameras can capture social interactions for sentiment analysis.

Additional Data Acquisition (targeted):

• Health and Wellness Apps: Use wearable data to create personalized fitness plans, stress management tools, or sleep improvement apps.

• Smart Safety Gear: Helmets, vests, or glasses with built-in sensors can enhance safety in construction, sports, or hazardous environments.

• Assistive Devices: Wearables for people with disabilities, such as smart glasses for the visually impaired.

• Environmental Monitoring: Wearable sensors for pollution detection or climate research.

• Emotionally Aware Wearables: Devices that adapt music playlists or lighting based on the user’s emotional state.

List of Devices by Type AN Plans to Support + Data AN Collects

Smart Glasses / AR / VR glasses, device example: Ray-Ban Meta Smart Glasses, Google Glass Enterprise 2, camera (photo/video/QR code).

• Activity Tracking

• Provable Content

• Verified Experiences

• IRL & VR to NFT

Smart Rings, device example: Oura Ring Gen3, RingConn Smart Ring, Ultrahuman Ring Air, Go2sleep Ring, Evie Ring, etc...)

• Activity Tracking

• NFC

• Sleep Tracking

Smart Watch / Fitness tracker, device example: Location (GPS, GLONASS, GALILEO, etc.)

• Activity Tracking

• NFC

• Sleep Tracking

• Location

Other devices and vehicles:

• Wearable Cameras

• Wearable Health Monitors

• Scooters, Motorbikes, other Mobility Devices

• Cars