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@article{157340,
        author = {Preethi Salian K and D Veerabhadra Babu},
        title = {Design and Analysis of Human Activity Recognition using Deep learning Models-A Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {6},
        pages = {793-800},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157340},
        abstract = {Numerous applications, including those in healthcare and smart homes, depend on the detecting human activity- Human Activity Recognition (HAR). In this paper, we present a thorough overview of recent developments and difficulties in deep learning based HAR. In spite of the fact that there has been numerous review of HAR, mostly focused on the arrangement of HAR and examined the most advanced HAR systems that have been deployed using traditional machine learning techniques. Recently, other reviews of research using deep models for HAR have also been conducted, albeit these reviews only cover a small number of deep models and their variations. A thorough and in-depth analysis of HAR using recently created deep learning techniques is still required.},
        keywords = {Deep learning Model, Human activity recognition ,Machine learning, },
        month = {},
        }