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Journal Details : IJSRD - International Journal for Scientific Research & Development| Vol. 2, Issue 02, 2014 | ISSN (online): 2321-0613
Title : Accident Detection System
Author Name : Aswathy James,Nimmy Rose Sam ,Neena K Pius, Jito Tomy Joseph
College Name : Amal Jyothi College of Engg. (Mahatma Gandhi University) Kerala, India
Accidents like falls in people can happen due to
reasons like old age, unconscious mind and poor motor
control. Such accidents may result in broken or fractured
bones, cuts, and even death. Living with the fear of falling
leads to isolation, worsening of mental health, and general
degradation of quality of living. If the accidents cannot be
prevented, the next best option is detecting them accurately,
and alerting the required authorities for medical help. This
paper introduces an accident detection mechanism with the
help of the Smartphone. Smartphone’s gather the
information using the Built-in tri-accelerometer and the data
obtained from the accelerometer are analyzed using the
displacement based algorithm. On detecting an accident, the
user is prompted to respond and can use touch or voice
recognition to reduce the false positives. If the user is not
responding within a period of time, the application generates
alerts like emails and text messages and alerts the predefined
contacts. If any unconscious situations occur, the user can
press the panic button and the appropriate
message/audio/video/image will be sent to the predefined
contacts.The system also provides the hospitality
facility.That is by providing the details of the nearest
EXISTING SYSTEM AND DRAWBACKS:
Current Methods for Automatic Fall Detection includes the
Falls that occur in isolation, immediate help by detecting it
quickly and accurately is an important factor.
For this purpose Personal Emergency Response
Systems which will detect the fall by generating alerts. It
will also reduce the time between the fall and the arrival of
the medical attention. PERS uses pendant for the alert
generation but it will not work if the person is unconscious.
In order to classify the fall automated fall detecting systems
use one of the three methods which include Vibration
recognition,image recognition,worn devices.
Vibration recognition: It contains a device which is
inplanted on the groundor floor in order to monitor
sound or the vibration.By comparing the vibration
frequency it is easier to identify the fall.
Image recognition: This is done by placing a camera in
a fixed location and the movement patterns are
recorded.The system adapts to the locations in which a
single human enters/exits the room and remains inactive
(lying/sitting on bed/chair). Common paths from entry
points to inactive areas are then traced and remembered.
It suspects a fall if a person becomes inactive in the
middle of a common path. It have the disadvantages
such as if the person is outside the monitored area the
system become ineffective.
Worn Devices: In this the user need to wear external
sensors and it will uses a tri-axial accelerometer. If a
specific pattern or threshold is broken, the device alerts
a wireless receiver, which then alerts emergency
contacts. It also faces some problems such as
inconvenience and affects the daily activities of the life.
Recognition by acceleration threshold: This system
detects fall condition by analyzing acceleration data
from an accelerometer. If the amplitude of the
acceleration crosses the lower and upper thresholds and
if there is a change in position then fall condition is