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  ---
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  tags:
 
 
 
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  - HAR
 
 
 
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  ---
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  Part of MONSTER: <https://arxiv.org/abs/2502.15122>.
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  ***PAMAP2*** is a collection of data obtained from three Inertial Measurement Units (IMUs) placed on the wrist of the dominant arm, chest, and ankle, as well as 1 ECG heart rate [1]. The data was recorded at a frequency of 100Hz. The dataset includes annotated information about human activities performed by 9 subjects, each with their own unique physical characteristics. The majority of the subjects are male and have a dominant right hand. Notably, the dataset includes only one female subject (ID 102) and one left-handed subject (ID 108). In total, there are 18 different human activity classes represented in the dataset. To ensure an unbiased evaluation, we divide the dataset into cross-validation folds based on the subjects.
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  [1] Attila Reiss and Didier Stricker. (2012). Introducing a new benchmarked dataset for activity monitoring. In *16<sup>th</sup> International Symposium on Wearable Computers*, pages 108–109.
 
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  tags:
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+ - time series
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+ - time series classification
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+ - monster
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  - HAR
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+ pretty_name: PAMAP2
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+ size_categories:
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+ - 10K<n<100K
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  Part of MONSTER: <https://arxiv.org/abs/2502.15122>.
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+ |PAMAP2||
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+ |-|-:|
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+ |Category|Audio|
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+ |Num. Examples|38,856|
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+ |Num. Channels|52|
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+ |Length|100|
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+ |Sampling Freq.|100 Hz|
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+ |Num. Classes|12|
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+ |License|Other|
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+ |Citations|[1]|
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+
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  ***PAMAP2*** is a collection of data obtained from three Inertial Measurement Units (IMUs) placed on the wrist of the dominant arm, chest, and ankle, as well as 1 ECG heart rate [1]. The data was recorded at a frequency of 100Hz. The dataset includes annotated information about human activities performed by 9 subjects, each with their own unique physical characteristics. The majority of the subjects are male and have a dominant right hand. Notably, the dataset includes only one female subject (ID 102) and one left-handed subject (ID 108). In total, there are 18 different human activity classes represented in the dataset. To ensure an unbiased evaluation, we divide the dataset into cross-validation folds based on the subjects.
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  [1] Attila Reiss and Didier Stricker. (2012). Introducing a new benchmarked dataset for activity monitoring. In *16<sup>th</sup> International Symposium on Wearable Computers*, pages 108–109.