Abstract
This study proposes an intelligent data analysis model for finding optimal patterns in human activities on the basis of biometric features obtained from four sensors installed on smartphone and smartwatch devices. Theproposed model, referred to as Scheduling Activities of smartphone and smartwatch based on Optimal Pattern Model(SA-OPM), consists of four main stages. The first stage relates to the collection of data from four sensors in real time (i.e., two smartphone sensors called accelerometer and gyroscope and two smartwatch sensors of the same name). The second stage involves the preprocessing of the data by converting them into graphs. As graphs are difficult to deal with directly, a deterministic selection algorithm is proposed as a new method to find the optimal root to split the graphs into multiple subgraphs. The third stage entails determining the number of samples related to each subgraphby using the optimization technique called the lion optimization algorithm. The final stage involves the generation of patterns from the optimal subgraph by using the association pattern algorithm called gSpan. The pattern finder based on Forward-Backward Rules (FBR) generates the optimal patterns and thus aids humans in organizing their activities. Results indicate that the proposed SA-OPM model generates robust and authentic patterns of human activities.
Highlights
The Internet of Things (IoT) is a system of interconnected hardware and software technologies that produce data from connected devices and sensors in the Internet
IoT is any device that can connect to the Internet and convey data through the network without any interaction between users and computersŒ1
An advanced mobile phone client recognizable proof framework depends on conduct action cycle, which can be duplicated in other social examinations
Summary
The Internet of Things (IoT) is a system of interconnected hardware and software technologies that produce data from connected devices and sensors in the Internet. Smartphones have become an integral part of people’s daily life These devices are widely used in communication and in accessing Internet platforms and social mediaŒ2. Samaher Al-Janabi et al.: Sensitive Integration of Multilevel Optimization Model in Human Activity : : : behavioral characteristics that make the identity of a person distinct. It is the science of measuring behavioral and/or physical characteristics that are unique to each person. Intelligent computation involves the actions of agents in an environment. Agents in this sense may be the society, dogs, and humans. Optimization aims to continuously develop processes and activities related to individuals and production pathsŒ7
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