Bluetooth-Low-Energy-Based Fall Detection and Warning System for Elderly People in Nursing Homes

Table 6

Proposed scenario for a day of an elderly person in a nursing home, based on information from a local home.

Time	Activity	Microcontroller mode	Accelerometer mode
8:00-8:30	Wake-up, getting dressed and walking towards the kitchen for breakfast	Active	Active
8:30-9:30	Having breakfast and socialising with other residents	Deep sleep	Active
9:30-935	Walking towards the garden, room or recreation centre	Active	Active
9:35-12:00	Enjoying the moment	Deep sleep	Active
12:00-1205	Walking towards the kitchen for lunch	Active	Active
12:05-13:05	Having lunch and socialising with other residents	Deep sleep	Active
13:05-13:10	Walking towards room	Active	Active
13:10-14:30	Sleeping	Deep sleep	Active
14:30-14:35	Walking towards the garden, room or recreation centre	Active	Active
14:35-1730	Enjoying the moment	Deep sleep	Active
17:30-1735	Walking towards the kitchen for dinner	Active	Active
17:35-18:35	Having dinner and socialising with the other residents	Deep sleep	Active
18:35-18:40	Walking back to the room	Active	Active
18:40-21:00	Sitting or lying down in bed watching TV	Deep sleep	Active
21:00-22:30	Sleeping (time needed to detect elderly person is sleeping)	Deep sleep	Active
22:30-8:00	Sleeping	Deep sleep	Low power