# Airbag Protection and Alerting System for Elderly People
## 1 Introduction
Additionally, it may recognize an unusual tilt and alert users to adjust their posture to reduce the danger of falling. Four different static postures: standing, bending, sitting, and laying are identified by [4]. The TEMPO (technology-enabled medical precision observation) 3.0 sensor nodes have been used. The proposed method encounters difficulties in distinguishing between bed-jumping and wall-falling with a seated position. A wearable accelerometric motion analysis system (WAMAS) is suggested by [5] for the evaluation and treatment of movement-related disorders. The core of the system is comprised of four 3-axis sensors: two upon the hips on a belt at the waist, and two more attached to the edges of the eyeglass to monitor head movements. However, a reduced weight unit still requires development. A real-time fall detection and pose recognition system is being developed by [6] that may be utilized in the home. It uses a single camera placed on the ceiling for monitoring based on motion information. However, using a camera may not be a comfortable method as it breaches a person's privacy all the time. An accelerometer with an ultrasonic sound sensor is utilized in a fall detection system proposed by [7]. While an accelerometer is utilized to identify motions, an ultrasonic sensor uses distance measurements to determine a person's free fall motion. When both sensors' thresholds are achieved, the system initiates a fall event and sends an emergency warning to the caregivers and the physicians through a GSM module. A smart helmet for the blind is designed by [8]. It includes some functions like obstacle detection and fall detection. The helmet is equipped with a few sonar sensors that can detect objects across 360 degrees surrounding the wearer. The system keeps sending help requests throughout the fall incident using the GSM module until one of the pre-designated caretakers answers. A fall alarm scheme is developed by [9] which comprises a linear array of electret condenser acoustic sensors installed on pre-amplifier boards Cana Kit CK495. A motion detector is included in the acoustic fall detection system (FADE) to further reduce false alerts. A monitoring system is designed by [10] to detect falls and sudden changes in a person's mobility. The gadget may be installed on a person's hand or wheelchair to detect motion and uses an accelerometer and gyro sensor to do so. A quick shift that causes the system to jolt is handled as a fall. A safety alarm device is proposed by [11] that may be worn as a pendant or a wristband which is connected to a regular phone and has an emergency button to send an alert to an alarm receiver or family. However, it can only be effective if the elderly person using the gadget is aware. Philips Lifeline [12] offers fall detection devices using accelerometers and barometers. When a fall is detected by the sensors, an automated alert is sent to the Philips Lifeline response center through a base station installed in the home. However, the call cannot be canceled by the user if the help button is pressed accidentally. For the fall detection and protection category, an Arduino-based human airbag system is implemented by [13] to safeguard the elderly from falls. The system has to be wearable and capable of detecting dangerous tilt and if a fall has occurred. It uses a 3-axis sensor accelerometer and gyroscope which are connected to a microcontroller which detects the fall and sends a command to the driver circuit to inflate an airbag. A smart helmet system is suggested by [14] to detect unexpected falls for people who drive motorcycles or elderly people. A 3-axis accelerometer is used to observe the fall, then it transmits a signal to an Arduino which in turn operates an air compressor to pump air into the airbags. A fall detection and prevention system that monitors the posture in bed is proposed by [15]. Whether the user is in bed or not is determined using pressure sensors.