Slow feature subspace: A video representation based on slow feature analysis for action recognition

Beleza, Suzana Rita Alves; Shimomoto, Erica K.; Souza, Lincon S.; Fukui, Kazuhiro

doi:10.1016/j.mlwa.2023.100493

Cited by 1 publication

(1 citation statement)

References 51 publications

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“…There are two mainstream data collection methods for human activity recognition: vision-based [ 9 ] and sensor-based [ 10 ] methods. Vision-based methods collect and analyze images or videos through cameras to identify the types of human activities [ 11 ]. This kind of method does not require the subject to carry any equipment.…”

Section: Related Workmentioning

confidence: 99%

Position-Aware Indoor Human Activity Recognition Using Multisensors Embedded in Smartphones

Wang,

2024

Sensors

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Composite indoor human activity recognition is very important in elderly health monitoring and is more difficult than identifying individual human movements. This article proposes a sensor-based human indoor activity recognition method that integrates indoor positioning. Convolutional neural networks are used to extract spatial information contained in geomagnetic sensors and ambient light sensors, while transform encoders are used to extract temporal motion features collected by gyroscopes and accelerometers. We established an indoor activity recognition model with a multimodal feature fusion structure. In order to explore the possibility of using only smartphones to complete the above tasks, we collected and established a multisensor indoor activity dataset. Extensive experiments verified the effectiveness of the proposed method. Compared with algorithms that do not consider the location information, our method has a 13.65% improvement in recognition accuracy.

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Section: Related Workmentioning

confidence: 99%

Position-Aware Indoor Human Activity Recognition Using Multisensors Embedded in Smartphones

Wang,

2024

Sensors

View full text Add to dashboard Cite

show abstract

Slow feature subspace: A video representation based on slow feature analysis for action recognition

Cited by 1 publication

References 51 publications

Position-Aware Indoor Human Activity Recognition Using Multisensors Embedded in Smartphones

Position-Aware Indoor Human Activity Recognition Using Multisensors Embedded in Smartphones

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