IoT-blockchain empowered Trinet: optimized fall detection system for elderly safety.

ABSTRACT: Numerous elderly folks reside alone in their homes. Seniors may find it difficult to ask for assistance if they fall. As the elderly population keeps growing, elderly fall incidents are becoming a critical public health concern. Creating a fall detection system for the elderly using IoT and blockchain is the aim of this study. Data collection, pre-processing, feature extraction, feature selection, fall detection, and emergency response and assistance are the six fundamental aspects of the proposed model. The sensor data is collected from wearable devices using elderly such as accelerometers and gyroscopes. The collected data is pre-processed using missing value removal, null value handling. The features are extracted after pre-processed data using statistical features, autocorrelation, and

SUBMITTER: Alfayez F 

PROVIDER: S-EPMC10552752 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature