Graduate School of Science and Engineering, Saga University, Saga 8408502, Japan.
Faculty of Science and Engineering, Saga University, Saga 8408502, Japan.
Sensors (Basel). 2024 Jan 31;24(3):926. doi: 10.3390/s24030926.
This research uses a low-resolution infrared array sensor to address real-time human activity recognition while prioritizing the preservation of privacy. The proposed system captures thermal pixels that are represented as a human silhouette. With camera and image processing, it is easy to detect human activity, but that reduces privacy. This work proposes a novel human activity recognition system that uses interpolation and mathematical measures that are unobtrusive and do not involve machine learning. The proposed method directly and efficiently recognizes multiple human states in a real-time environment. This work also demonstrates the accuracy of the outcomes for various scenarios using traditional ML approaches. This low-resolution IR array sensor is effective and would be useful for activity recognition in homes and healthcare centers.
本研究使用低分辨率红外阵列传感器来解决实时人体活动识别问题，同时优先保护隐私。所提出的系统捕获表示为人影的热像素。使用摄像机和图像处理，很容易检测到人体活动，但这会降低隐私性。这项工作提出了一种新颖的人体活动识别系统，该系统使用插值和数学度量，既不引人注目，也不涉及机器学习。所提出的方法可以直接有效地识别实时环境中的多种人体状态。这项工作还使用传统的机器学习方法展示了各种场景下结果的准确性。这种低分辨率红外阵列传感器是有效的，将有助于家庭和医疗中心的活动识别。
