Replication data for "The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data" (doi:10.13130/RD_UNIMI/VGLD0Y)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Replication data for "The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data"

Identification Number:

doi:10.13130/RD_UNIMI/VGLD0Y

Distributor:

UNIMI Dataverse

Date of Distribution:

2021-09-23

Version:

1

Bibliographic Citation:

Arrotta, Luca; Civitarese, Gabriele; Bettini, Claudio, 2021, "Replication data for "The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data"", https://doi.org/10.13130/RD_UNIMI/VGLD0Y, UNIMI Dataverse, V1

Study Description

Citation

Title:

Replication data for "The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data"

Identification Number:

doi:10.13130/RD_UNIMI/VGLD0Y

Authoring Entity:

Arrotta, Luca

Civitarese, Gabriele

Bettini, Claudio

Distributor:

UNIMI Dataverse

Access Authority:

Arrotta, Luca

Depositor:

Arrotta, Luca

Date of Deposit:

2021-09-23

Holdings Information:

https://doi.org/10.13130/RD_UNIMI/VGLD0Y

Study Scope

Keywords:

Computer and Information Science, Activity Recognition, Smart Home, Multi-inhabitant

Abstract:

MARBLE is a multi-inhabitant activities of daily living (ADLs) dataset that combines both smart-watch and environmental sensors data. MARBLE includes sixteen hours of ADLs considering scripted but realistic scenarios where up to four subjects live in the same home environment

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1007/978-3-030-94822-1_25

Bibliographic Citation:

Arrotta L., Bettini C., Civitarese G. (2022) The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data. In: Hara T., Yamaguchi H. (eds) Mobile and Ubiquitous Systems: Computing, Networking and Services. MobiQuitous 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 419. Springer, Cham.

Other Study-Related Materials

Label:

MARBLE.rar

Notes:

application/x-rar-compressed