RHM-HAR-SK: A Multiview Dataset with Skeleton Data for Ambient Assisted Living Research

Camera views

Bending

Carrying Objects

Cleaning

Closing Can

Drinking

Lifting Objects

Opening Can

Putting Down Objects

Reaching

Sitting Down

Stairs Climbing down

Stairs Climbing Up

Standing Up

Walking

Back View

Robot View

Front View

Omni View

Brief Description

RHM-HAR-SK is a new multi-View Skeleton dataset of human activities including multiple viewpoints. Its main characteristics are:

Four perspectives: two side views, one mobile robot view, one top (ceiling) view
14 activities of daily living (classes): Walking, Sitting Down, Standing Up, Lifting Objects, Carrying Objects, Drinking, Stairs Climbing Up, Stairs Climbing Down, Stretching, Putting Objects Down, Reaching, Opening Can, Closing Can, and Cleaning.
407-700 recordings for each class (from four perspectives)
6,701 total recordings (from four viewpoints), in 26,804 videos

All extracted skeleton has been saved in the RH-HAR-SK.pkl file. It includes five dimension list like below:

print(f'RH_HAR_skeleton: {vectors[0][0][0][0]}')

'RH_HAR_skeleton: [4, 14, 433, 118, 34]`

[4] : Shows four views

[4 ,14]: Fourteen actions in each views

[4, 14, 433]: Number of samples in each action

[4, 14, 433, 118]: Number of frames in each sample

[4, 14, 433, 118, 34]: Number of poses in each frame

In the array 3 there is torch tensor which we can copy it to a variable and behave it as tensor

torch.Size([118, 34])

[118]: number of frames

[34]: Number of poses

Tensor values with the same class name and number with various view names are synchronised.

Access

You can download the dataset here. Please contact robothouse@herts.ac.uk about how to obatin access.

Referencing

The paper can be downloaded free of charge at the ThinkMind Digital Library. Please use the following format for referencing the dataset in a scientific context.

Citation

Mohamad Reza Shahabian Alashti, Mohammad Hossein Bamorovat Abadi, Patrick Holthaus, Catherine Menon, and Farshid Amirabdollahian. RHM-HAR-SK: A Multiview Dataset with Skeleton Data for Ambient Assisted Living Research. In The Sixteenth International Conference on Advances in Computer-Human Interactions (ACHI 2023). 181-193. Venice, Italy, IARIA.

BibTeX

@inproceedings{Shahabian2023a,
    author = "Shahabian Alashti, Mohamad Reza and Bamorovat Abadi, Mohammad Hossein and Holthaus, Patrick and Menon, Catherine and Amirabdollahian, Farshid",
    title = "{RHM-HAR-SK: A Multiview Dataset with Skeleton Data for Ambient Assisted Living Research}",
    booktitle = "The Sixteenth International Conference on Advances in Computer-Human Interactions (ACHI 2023)",
    address = "Venice, Italy",
    year = "2023",
    publisher = "IARIA",
    isbn = "978-1-68558-078-0",
    pages = "181--187",
    url = "https://www.thinkmind.org/index.php?view=article\&articleid=achi\_2023\_4\_190\_20087"
}