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Mar 12, 2016 · In this paper, we present an efficient algorithm to identify temporal patterns among actions and utilize the identified patterns to represent activities for ...
Techniques for action recognition from sensor-generated data are mature. However, few efforts have targeted sensor-based activity recognition. In this paper, we ...
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Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents' actions and the environmental ...
Experiments on a real-world dataset demonstrated that our approach is able to recognize activities with high accuracy from temporal patterns, and that temporal ...
This seminar introduces recent trends in sensor-based activity recognition technology. Technology to recognize human activities using sensors has been a hot ...
Oct 11, 2023 · Sensor-based Human Activity Recognition facilitates unobtrusive monitoring of human movements. However, determining the most effective sensor ...
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This paper tackles the problem of real-time recognition and repetition counting of 12 types of exercises performed during athletic workouts.
Oct 22, 2024 · In this paper, we present a comprehensive survey to examine the development and current status of various aspects of sensor-based activity ...
Nov 10, 2022 · The main objective of sensor-based human activity recognition (HAR) is to classify predefined human physical activities with multichannel signals acquired from ...
Jul 12, 2017 · This paper surveys the recent advance of deep learning based sensor-based activity recognition. We summarize existing literature from three aspects.
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