Understanding people with human activities and social interactions for human-centered computing

Author:

Choi Sangil

Abstract

AbstractAn ultimate goal of human-centered computing is making human beings the center of computing technologies. To make people a core component of the technology, first of all, we need to understand people and society in which people live. In this paper, we propose two important factors in order to understand people and their social interactions. Proposed human activity recognition and neighbor discovery schemes help us comprehend human activities and their social behaviors. In addition, combination of these two mechanisms provide us with an opportunity for better understanding of people in the near future. Finally, it might be worth analyzing correlation between human activities and social interactions for the group of people using our proposed schemes.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

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1. Integrating Multiple Public Datasets for Human Activity Recognition using Machine Learning;2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP);2023-06-27

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4. Predictive side decoding for human-centered multiple description image coding;EURASIP Journal on Wireless Communications and Networking;2020-05-11

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