Wearable technology for posture monitoring at the workplace

Rik Bootsman, Panos Markopoulos (Corresponding author), Qi Qi, Qi Wang, Annick A.A. Timmermans

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Uittreksel

Prolonged strenuous postures in occupational context may lead to low back pain. Avoiding such occurrences is known to help prevent low back pain episodes or may contribute to recovery. This research concerns wearable sensing technology to support posture monitoring for the prevention of occupational low back pain and, more specifically, how smart garments can help nurses avoid prolonged strenuous postures at work. We introduce BackUp, a system comprising of a smart shirt connected to a smartphone application that provides feedback and advice on low back posture, and we describe its design and implementation. We report on a series of studies that contributed to its development: an anthropometric study (N = 60) to decide on the placement of sensors on the lower spine; a brief field study aimed at evaluating user experience and attitudes towards the shirt (N = 17), and a second field study intended to assess its effectiveness in helping nurses avoid prolonged strenuous postures at work (N = 13). These studies demonstrate how smart clothing can support posture feedback in real life conditions. While the results from the field studies are encouraging regarding the potential of this technology, further research is needed to establish the durability of the behaviour modification achieved through smart garments.

TaalEngels
Pagina's99-111
Aantal pagina's13
TijdschriftInternational Journal of Human-Computer Studies
Volume132
DOI's
StatusGepubliceerd - 1 dec 2019

Vingerafdruk

pain
workplace
monitoring
Feedback
Monitoring
Smartphones
nurse
behavior modification
Durability
clothing
Recovery
Sensors
Wearable technology
experience

Trefwoorden

    Citeer dit

    Bootsman, Rik ; Markopoulos, Panos ; Qi, Qi ; Wang, Qi ; Timmermans, Annick A.A./ Wearable technology for posture monitoring at the workplace. In: International Journal of Human-Computer Studies. 2019 ; Vol. 132. blz. 99-111
    @article{321cbc886302488695f4827cff51f561,
    title = "Wearable technology for posture monitoring at the workplace",
    abstract = "Prolonged strenuous postures in occupational context may lead to low back pain. Avoiding such occurrences is known to help prevent low back pain episodes or may contribute to recovery. This research concerns wearable sensing technology to support posture monitoring for the prevention of occupational low back pain and, more specifically, how smart garments can help nurses avoid prolonged strenuous postures at work. We introduce BackUp, a system comprising of a smart shirt connected to a smartphone application that provides feedback and advice on low back posture, and we describe its design and implementation. We report on a series of studies that contributed to its development: an anthropometric study (N = 60) to decide on the placement of sensors on the lower spine; a brief field study aimed at evaluating user experience and attitudes towards the shirt (N = 17), and a second field study intended to assess its effectiveness in helping nurses avoid prolonged strenuous postures at work (N = 13). These studies demonstrate how smart clothing can support posture feedback in real life conditions. While the results from the field studies are encouraging regarding the potential of this technology, further research is needed to establish the durability of the behaviour modification achieved through smart garments.",
    keywords = "Awareness, Interactive clothing, Low back pain, Nurse, Persuasive technology, Posture correction, Smart garments, User test",
    author = "Rik Bootsman and Panos Markopoulos and Qi Qi and Qi Wang and Timmermans, {Annick A.A.}",
    year = "2019",
    month = "12",
    day = "1",
    doi = "10.1016/j.ijhcs.2019.08.003",
    language = "English",
    volume = "132",
    pages = "99--111",
    journal = "International Journal of Human-Computer Studies",
    issn = "1071-5819",
    publisher = "Elsevier",

    }

    Wearable technology for posture monitoring at the workplace. / Bootsman, Rik; Markopoulos, Panos (Corresponding author); Qi, Qi; Wang, Qi; Timmermans, Annick A.A.

    In: International Journal of Human-Computer Studies, Vol. 132, 01.12.2019, blz. 99-111.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    TY - JOUR

    T1 - Wearable technology for posture monitoring at the workplace

    AU - Bootsman,Rik

    AU - Markopoulos,Panos

    AU - Qi,Qi

    AU - Wang,Qi

    AU - Timmermans,Annick A.A.

    PY - 2019/12/1

    Y1 - 2019/12/1

    N2 - Prolonged strenuous postures in occupational context may lead to low back pain. Avoiding such occurrences is known to help prevent low back pain episodes or may contribute to recovery. This research concerns wearable sensing technology to support posture monitoring for the prevention of occupational low back pain and, more specifically, how smart garments can help nurses avoid prolonged strenuous postures at work. We introduce BackUp, a system comprising of a smart shirt connected to a smartphone application that provides feedback and advice on low back posture, and we describe its design and implementation. We report on a series of studies that contributed to its development: an anthropometric study (N = 60) to decide on the placement of sensors on the lower spine; a brief field study aimed at evaluating user experience and attitudes towards the shirt (N = 17), and a second field study intended to assess its effectiveness in helping nurses avoid prolonged strenuous postures at work (N = 13). These studies demonstrate how smart clothing can support posture feedback in real life conditions. While the results from the field studies are encouraging regarding the potential of this technology, further research is needed to establish the durability of the behaviour modification achieved through smart garments.

    AB - Prolonged strenuous postures in occupational context may lead to low back pain. Avoiding such occurrences is known to help prevent low back pain episodes or may contribute to recovery. This research concerns wearable sensing technology to support posture monitoring for the prevention of occupational low back pain and, more specifically, how smart garments can help nurses avoid prolonged strenuous postures at work. We introduce BackUp, a system comprising of a smart shirt connected to a smartphone application that provides feedback and advice on low back posture, and we describe its design and implementation. We report on a series of studies that contributed to its development: an anthropometric study (N = 60) to decide on the placement of sensors on the lower spine; a brief field study aimed at evaluating user experience and attitudes towards the shirt (N = 17), and a second field study intended to assess its effectiveness in helping nurses avoid prolonged strenuous postures at work (N = 13). These studies demonstrate how smart clothing can support posture feedback in real life conditions. While the results from the field studies are encouraging regarding the potential of this technology, further research is needed to establish the durability of the behaviour modification achieved through smart garments.

    KW - Awareness

    KW - Interactive clothing

    KW - Low back pain

    KW - Nurse

    KW - Persuasive technology

    KW - Posture correction

    KW - Smart garments

    KW - User test

    UR - http://www.scopus.com/inward/record.url?scp=85071044185&partnerID=8YFLogxK

    U2 - 10.1016/j.ijhcs.2019.08.003

    DO - 10.1016/j.ijhcs.2019.08.003

    M3 - Article

    VL - 132

    SP - 99

    EP - 111

    JO - International Journal of Human-Computer Studies

    T2 - International Journal of Human-Computer Studies

    JF - International Journal of Human-Computer Studies

    SN - 1071-5819

    ER -