IoT Related Insights

This page describes how we use your information and turn it into insights. We use your personal data to provide and improve this service in accordance with our Privacy Policy.

How it works:

Thriving.ai collects and processes your data securely and privately. Data is collected from IoT sensors installed in your living space.  The information that we collect from the devices is then collected and analyzed.  Thriving.ai then calculates and reports the below insights.  

Wakeup Time: 

We use data collected from motion sensors in the bedroom to calculate wakeup time.

We assume that wakeup times occur in the morning hours, and follow a period of inactivity (sleep).

Breakfast: 

We use data collected from motion, contact, and power sensors in the kitchen to calculate breakfast time.

We assume that breakfast occurs in the morning hours, and follows the Wakeup Time.

Lunch: 

We use data collected from motion, contact, and power sensors in the kitchen to calculate lunch time.

We assume that lunch occurs mid-day..

Dinner: 

We use data collected from motion, contact, and power sensors in the kitchen to calculate dinner time.

We assume that dinner occurs late afternoon.

Bed:

We use data collected from motion, and contact sensors in the bedroom to calculate bed time.

We assume that bed time occurs in the evening following motion in the bedroom, followed by a sustained lack of motion.

Other Measurements:

Sleep Time is the interval between the bed time event and wake-up event

Active Time is the sum of the duration of activity from motion sensors in a 24 hour period.

Inactive Time is the sum of the duration of non-activity from motion sensors in a 24 hour period

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