To cope with such a crucial need, various fall detection wearable devices have been developed 4. Some devices contain buttons and sensors that can be pressed if there is an occurrence of emergency 4. However, these devices become ineffective or useless if the subject is unable to press button due to unconsciousness or being far from the device. Due to the failure of wearable devices, video controlling and monitoring systems entered the arena 4 but these systems also suffer due to inaccuracy and unreliability 4. After the failure of wearable healthcare devices and video systems it becomes necessary that automatic fall detection algorithms must be developed to cope with the challenges posed by fall detection problems. Such systems could dramatically improve the healthcare of older people.