Tasrif: processing wearable data in Python

Abdulaziz Al Homaid; Syed Hashim; Fadhil Abubaker; Ummar Abbas; Faisal Farooq; Joao Palotti

doi:10.1109/PerComWorkshops53856.2022.9767286

Tasrif: processing wearable data in Python

Abdulaziz Al Homaid^*, Syed Hashim, Fadhil Abubaker, Ummar Abbas^*, Faisal Farooq, Joao Palotti^*

^*Corresponding author for this work

Qatar Computing Research Institute

Hamad bin Khalifa University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper introduces Tasrif, an open source Python framework that facilitates processing of wearable data. Based on the pipes and filter design pattern, Tasrif provides multiple functionalities from data readers of large wearable datasets to integration with popular ML frameworks. The vision of Tasrif is to obviate or at least significantly accelerate the wearable data wrangling step. The code is publicly available at https://github.com/qcri/tasrif/.

Original language	English
Title of host publication	2022 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events (percom Workshops)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	85-87
Number of pages	3
ISBN (Electronic)	9781665416474
DOIs	https://doi.org/10.1109/PerComWorkshops53856.2022.9767286
Publication status	Published - 2022
Event	2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 - Pisa, Italy Duration: 21 Mar 2022 → 25 Mar 2022

Publication series

Name	2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022

Conference

Conference	2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022
Country/Territory	Italy
City	Pisa
Period	21/03/22 → 25/03/22

Keywords

Lifestyle data
Open source
Preprocessing
Time-series data
Wearables

Access to Document

10.1109/PerComWorkshops53856.2022.9767286

Cite this

Homaid, A. A., Hashim, S., Abubaker, F., Abbas, U., Farooq, F., & Palotti, J. (2022). Tasrif: processing wearable data in Python. In 2022 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events (percom Workshops) (pp. 85-87). (2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PerComWorkshops53856.2022.9767286

Homaid, Abdulaziz Al ; Hashim, Syed ; Abubaker, Fadhil et al. / Tasrif : processing wearable data in Python. 2022 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events (percom Workshops). Institute of Electrical and Electronics Engineers Inc., 2022. pp. 85-87 (2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022).

@inproceedings{8d1c530dacba42298577e1a0bbfa7527,

title = "Tasrif: processing wearable data in Python",

abstract = "This paper introduces Tasrif, an open source Python framework that facilitates processing of wearable data. Based on the pipes and filter design pattern, Tasrif provides multiple functionalities from data readers of large wearable datasets to integration with popular ML frameworks. The vision of Tasrif is to obviate or at least significantly accelerate the wearable data wrangling step. The code is publicly available at https://github.com/qcri/tasrif/.",

keywords = "Lifestyle data, Open source, Preprocessing, Time-series data, Wearables",

author = "Homaid, {Abdulaziz Al} and Syed Hashim and Fadhil Abubaker and Ummar Abbas and Faisal Farooq and Joao Palotti",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 ; Conference date: 21-03-2022 Through 25-03-2022",

year = "2022",

doi = "10.1109/PerComWorkshops53856.2022.9767286",

language = "English",

series = "2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "85--87",

booktitle = "2022 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events (percom Workshops)",

address = "United States",

}

Homaid, AA, Hashim, S, Abubaker, F, Abbas, U, Farooq, F & Palotti, J 2022, Tasrif: processing wearable data in Python. in 2022 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events (percom Workshops). 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022, Institute of Electrical and Electronics Engineers Inc., pp. 85-87, 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022, Pisa, Italy, 21/03/22. https://doi.org/10.1109/PerComWorkshops53856.2022.9767286

Tasrif: processing wearable data in Python. / Homaid, Abdulaziz Al; Hashim, Syed; Abubaker, Fadhil et al.
2022 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events (percom Workshops). Institute of Electrical and Electronics Engineers Inc., 2022. p. 85-87 (2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Tasrif

T2 - 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022

AU - Homaid, Abdulaziz Al

AU - Hashim, Syed

AU - Abubaker, Fadhil

AU - Abbas, Ummar

AU - Farooq, Faisal

AU - Palotti, Joao

PY - 2022

Y1 - 2022

N2 - This paper introduces Tasrif, an open source Python framework that facilitates processing of wearable data. Based on the pipes and filter design pattern, Tasrif provides multiple functionalities from data readers of large wearable datasets to integration with popular ML frameworks. The vision of Tasrif is to obviate or at least significantly accelerate the wearable data wrangling step. The code is publicly available at https://github.com/qcri/tasrif/.

AB - This paper introduces Tasrif, an open source Python framework that facilitates processing of wearable data. Based on the pipes and filter design pattern, Tasrif provides multiple functionalities from data readers of large wearable datasets to integration with popular ML frameworks. The vision of Tasrif is to obviate or at least significantly accelerate the wearable data wrangling step. The code is publicly available at https://github.com/qcri/tasrif/.

KW - Lifestyle data

KW - Open source

KW - Preprocessing

KW - Time-series data

KW - Wearables

UR - http://www.scopus.com/inward/record.url?scp=85130603073&partnerID=8YFLogxK

U2 - 10.1109/PerComWorkshops53856.2022.9767286

DO - 10.1109/PerComWorkshops53856.2022.9767286

M3 - Conference contribution

AN - SCOPUS:85130603073

T3 - 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022

SP - 85

EP - 87

BT - 2022 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events (percom Workshops)

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 21 March 2022 through 25 March 2022

ER -

Homaid AA, Hashim S, Abubaker F, Abbas U, Farooq F, Palotti J. Tasrif: processing wearable data in Python. In 2022 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events (percom Workshops). Institute of Electrical and Electronics Engineers Inc. 2022. p. 85-87. (2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022). doi: 10.1109/PerComWorkshops53856.2022.9767286

Tasrif: processing wearable data in Python

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this