Abstract
In this paper, a wearable sensor for ultra-low power networks that interact with a smart home system is proposed. The device is capable to detect falls which can aid the monitoring of elderly peoples to enhance safety. Falls may lead to injuries that could be fatal or mean extra medical expenses. In this study, the development of a wearable sensor for ultra-low power networks capable to interact with a smart home system is proposed. The physiological monitoring is obtained through a 3-axis accelerometer and gyroscope, which is attached to the user’s chest, performing real-time detection of falls based on threshold algorithm. The wearable sensor is an EnOcean node that includes a wireless connection with a smart home system and automatically sends alarm telegrams in case of falls.
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