| dc.description.abstract | The number of falls among the elderly people
increase each year and the lack of appropriate care and
support leads to serious injuries that could also cost lives.
Therefore, the elderly and the differently abled people
require constant monitoring. It is too costly to hire a
caretaker or move the person to a nursing home or to an
elder care home. To minimize the risks faced by the person
due to falls, to remind the person of their medication, to
contact the guardian, if necessary, to alert the guardian
when a fall is detected, and to provide company to the
person, a robot is developed and implemented. The main
objective of the project is to identify the primary and
secondary activities of daily living that require assistance
for the elderly and the differently abled, to implement
human detection, tracking, and fall detection in the robot.
Secondly, to design a robot that will assist the elderly and
the differently abled in fulfilling a subset of activities of
daily living, to optimize the robot for domestic purposes
through software validation and verification, and finally to
fabricate the designed robot. Human Detection, Following,
and Fall Detection algorithms are implemented using
Python with a Raspberry Pi 4 for processing. Pose
estimation will be used to detect the human, build the logic
for human following, and fall detection as well. The robot
follows the elderly person from behind and detects any falls. | en_US |
