Geodesic
Activity Recognition for Elderly Care Using Genetic Search
Computer Science and Information Systems, Tome 21 (2024) no. 1.

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The advent of newer and better technologies has made Human Activity Recognition (HAR) highly essential in our daily lives. HAR is a classification problem where the activity of humans is classified by analyzing the data collected from various sources like sensors, cameras etc. for a period of time. In this work, we have proposed a model for activity recognition which will provide a substructure for the assisted living environment. We used a genetic search based feature selection for the management of the voluminous data generated from various embedded sensors such as accelerometer, gyroscope, etc. We evaluated the proposed model on a sensor-based dataset - Human Activities and Postural Transitions Recognition (HAPT) which is publically available. The proposed model yields an accuracy of 97.04% and is better as compared to the other existing classification algorithms on the basis of several considered evaluation metrics. In this paper, we have also presented a cloud based edge computing architecture for the deployment of the proposed model which will ensure faster and uninterrupted assisted living environment.
Keywords: Activity Recognition; HAR; Genetic Search Algorithm; HAPT; SMO; Edge Computing; Cloud Computing 
@article{CSIS_2024_21_1_a9,
     author = {Ankita Biswal and Chhabi Rani Panigrahi and Anukampa Behera and Sarmistha Nanda and Tien-Hsiung Weng and Bibudhendu Pati and Chandan Malu},
     title = {Activity {Recognition} for {Elderly} {Care} {Using} {Genetic} {Search}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {21},
     number = {1},
     year = {2024},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2024_21_1_a9/}
}
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%A Tien-Hsiung Weng
%A Bibudhendu Pati
%A Chandan Malu
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Ankita Biswal; Chhabi Rani Panigrahi; Anukampa Behera; Sarmistha Nanda; Tien-Hsiung Weng; Bibudhendu Pati; Chandan Malu. Activity Recognition for Elderly Care Using Genetic Search. Computer Science and Information Systems, Tome 21 (2024) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2024_21_1_a9/