Wearable Sensors - Groups

VTT-ConIoT dataset

Human Activity Recognition (HAR) from wearable sensor data identiﬁes movements or activities in unconstrained environments.

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HHAR: Heterogeneous Human Activity Recognition Dataset

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WISDM Dataset

The dataset consists of six activities performed by 29 subjects. These activities include walking, upstairs, downstairs, jogging, upstairs, and standing.

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Human Activity Recognition (HAR) dataset

The dataset used in this paper is a multiclass classiﬁcation task where the goal is to correctly predict which of the 7 activities is being performed by the user. The...

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USC-HAD

USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors.

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Guided-GAN: Adversarial Representation Learning for Activity Recognition with...

Human activity recognition (HAR) is an important research field in ubiquitous computing where the acquisition of large-scale labeled sensor data is tedious, labor-intensive and...

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