A multidimensional approach to wearability assessment of an electronic wrist bracelet for the criminal justice system
Source abstract
Abstract
Abstract Electronic monitoring systems have been globally adopted to track criminals to ensure public safety efficiently. In this study, we aimed to assess the wearability of an electronic bracelet using multiple evaluation methods, including the evaluation of range of motion (ROM), air gap (AG), and clothing pressure (CP) at the wearer’s wrist, as well as self-scoring of subjective comfort (SC). We recruited eight Korean male participants (N = 8) who were in their 30 s and did not have any musculoskeletal problems at data collection. We compared the test results collected on the first day with those obtained after wearing the electronic wrist bracelet for 5 consecutive days. We also examined the differences between the normal-weight and overweight groups. Overall, the data evinced a decrease in the wrist ROM, AG, and SC, but an increase in the CP after it was worn for 5 days. And, the results were more observable in the overweight group, as compared to the normal-weight group. Furthermore, this study proposed a novel and effective assessment tool that could be used to measure the wearability of devices or systems intended to be worn on the human body—not only the electronic wrist bracelet for criminal monitoring but also popular commercial electronic bracelets for sportswear or health-related monitoring system.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Occupational Health and Performance · Thermoregulation and physiological responses · Ergonomics and Musculoskeletal Disorders
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (72)
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1. Agus, G. B., Allegra, C., Antignani, P. L., Arpaia, G., Bianchini, G., Bonadeo, P., et al. (2005). Guidelines for the diagnosis and therapy of the vein and lymphatic disorders. International Angiology: A Journal of the International Union of Angiology, 24(2), 107–168.
2. Akima, H., Kubo, K., Imai, M., Kanehisa, H., Suzuki, Y., Gunji, A., & Fukunaga, T. (2001). Inactivity and muscle: Effect of resistance training during bed rest on muscle size in the lower limb. Acta Physiologica Scandinavica, 172(4), 269–278. https://doi.org/10.1046/j.1365-201x.2001.00869.x10.1046/j.1365-201x.2001.00869.x ↗
3. Akrap, M. (2016). RFID implementation: Testing in prisons and parolees for the greater good. The John Marshall Journal of Information Technology & Privacy Law, 33(1), 22.
4. Albert, F. C. (2019, November 6). Ankle monitors can hold captives in invisible jails of debt, pain and bugged conversations. Think. https://www.nbcnews.com/think/opinion/ankle-monitors-can-hold-captives-invisible-jails-debt-pain-bugged-ncna1076806
5. Alessi, S. M., Barnett, N. P., & Petry, N. M. (2017). Experiences with SCRAMx alcohol monitoring technology in 100 alcohol treatment outpatients. Drug and Alcohol Dependence, 178, 417–424. https://doi.org/10.1016/j.drugalcdep.2017.05.03110.1016/j.drugalcdep.2017.05.031 ↗
6. Areia, C., Young, L., Vollam, S., Ede, J., Santos, M., Tarassenko, L., & Watkinson, P. (2020). Wearability testing of ambulatory vital sign monitoring devices: Prospective observational cohort study. JMIR mHealth and uHealth, 8(12), e20214. https://doi.org/10.2196/2021410.2196/20214 ↗
7. Bartels, L., & Martinovic, M. (2017). Electronic monitoring: The experience in Australia. European Journal of Probation, 9(1), 80–102. https://doi.org/10.1177/206622031769765810.1177/2066220317697658 ↗
8. Battaglia, C., Di Cagno, A., Fiorilli, G., Giombini, A., Fagnani, F., Borrione, P., et al. (2013). Benefits of selected physical exercise programs in detention: A randomized controlled study. International Journal of Environmental Research and Public Health, 10(11), 5683–5696. https://doi.org/10.3390/ijerph1011568310.3390/ijerph10115683 ↗
9. Belur, J., Thornton, A., Tompson, L., Manning, M., Sidebottom, A., & Bowers, K. (2020). A systematic review of the effectiveness of the electronic monitoring of offenders. Journal of Criminal Justice, 68, 101686. https://doi.org/10.1016/j.jcrimjus.2020.10168610.1016/j.jcrimjus.2020.101686 ↗
10. Bhatia, M. (2021). Racial surveillance and the mental health impacts of electronic monitoring on migrants. Race and Class, 62(3), 18–36. https://doi.org/10.1177/030639682096348510.1177/0306396820963485 ↗
11. Borg, G. (1988). Borg’s perceived exertion and pain scales. Human Kinetics.
12. Bradley, S. (2013). Design fundamentals: Elements, attributes, & principles. Vanseo Design.
13. Bryson, D. (2009). Designing smart clothing for the body. In J. McCann & D. Bryson (Eds.), Smart clothes and wearable technology (pp. 95–107). Woodhead Publishing. https://doi.org/10.1533/9781845695668.1.9510.1533/9781845695668.1.95 ↗
14. Button, D. M., DeMichele, M., & Payne, B. K. (2009). Using electronic monitoring to supervise sex offenders: Legislative patterns and implications for community corrections officers. Criminal Justice Policy Review, 20(4), 414–436. https://doi.org/10.1177/088740340832960710.1177/0887403408329607 ↗
15. Cara, T. (2020, July 14). A bigger market for electronic ankle monitors. Corrections centers are stocking up on electronic monitors as they release prisoners due to Covid-19. Bloomberg. https://medium.com/bloomberg-businessweek/a-bigger-market-for-electronic-ankle-monitors-2c23e8bd826c
16. Cemal, Y., Jewell, S., Albornoz, C. R., Pusic, A., & Mehrara, B. J. (2013). Systematic review of quality of life and patient reported outcomes in patients with oncologic related lower extremity lymphedema. Lymphatic Research and Biology, 11(1), 14–19. https://doi.org/10.1089/lrb.2012.001510.1089/lrb.2012.0015 ↗
17. Clarke, J. G., & Waring, M. E. (2012). Overweight, obesity, and weight change among incarcerated women. Journal of Correctional Health Care, 18(4), 285–292. https://doi.org/10.1177/107834581245601010.1177/1078345812456010 ↗
18. Crowe, A. H., Sydney, L., Bancroft, P., & Beverly, L. (2002). Offender supervision with electronic technology. American Probation and Parole Association: Lexington.
19. Dew, N. (2008). Cookies for the real world: Assessing the potential of RFID for contractor monitoring. Journal of Public Procurement, 8(1), 98–129. https://doi.org/10.1108/JOPP-08-01-2008-B00410.1108/JOPP-08-01-2008-B004 ↗
20. Di Tella, R., & Schargrodsky, E. (2013). Criminal recidivism after prison and electronic monitoring. Journal of Political Economy, 121(1), 28–73. https://doi.org/10.1086/66978610.1086/669786 ↗
21. Dunne, L. E., & Smyth, B. (2007). Psychophysical elements of wearability. In Proceedings of the SIGCHI conference on human factors in computing systems (CHI ‘07), (pp. 299–302). https://doi.org/10.1145/1240624.124067410.1145/1240624.1240674 ↗
22. Frey, D. (1949). Zum Problem der Symmetrie in der bildenden Kunst. Verlag nicht ermittelbar.
23. Gemperle, F., Kasabach, C., Stivoric, J., Bauer, M., & Martin, R. (1998). Design for wearability. In Second international symposium on wearable computers (Cat. No. 98EX215), (pp. 116–122). https://doi.org/10.1109/ISWC.1998.72953710.1109/ISWC.1998.729537 ↗
24. Gies, S. V., Gainey, R., Cohen, M. I., Healy, E., Duplantier, D., Yeide, M., Bekelman, A., Bobnis, A., & Hopps, M. (2012, April). Monitoring high-risk sex offenders with GPS technology: An evaluation of the California supervision program final report. US Department of Justice, Office of Justice Programs, National Institute of Justice. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.729.3193&rep=rep1&type=pdf10.1037/e566812012-001 ↗
25. Gilleard, W., & Smith, T. (2007). Effect of obesity on posture and hip joint moments during a standing task, and trunk forward flexion motion. International Journal of Obesity, 31(2), 267–271. https://doi.org/10.1038/sj.ijo.080343010.1038/sj.ijo.0803430 ↗
26. Griffin, L., Sokolowski, S., & Seifert, E. (2018). Process considerations in 3D hand anthropometric data collection. In Proceedings of 3DBODY. TECH, (pp. 121–130). https://doi.org/10.15221/18.12310.15221/18.123 ↗
27. Hajime, T., Michiaki, F., Hiroyuki, K., & Toyonori, N. (2007). Influence of curvature radius and compression energy on clothing pressure of cylinder model. Journal of Textile Engineering. https://doi.org/10.4188/jte.53.22510.4188/jte.53.225 ↗
28. Haverkamp, R., & Woessner, G. (2016). The emergence and use of GPS electronic monitoring in Germany: Current trends and findings. Journal of Technology in Human Services, 34(1), 117–138. https://doi.org/10.1080/15228835.2016.113991810.1080/15228835.2016.1139918 ↗
29. Henneguelle, A., Monnery, B., & Kensey, A. (2016). Better at home than in prison? The effects of electronic monitoring on recidivism in France. The Journal of Law and Economics, 59(3), 629–667. https://doi.org/10.1086/69000510.1086/690005 ↗
30. Herbert, K., Plugge, E., Foster, C., & Doll, H. (2012). Prevalence of risk factors for non-communicable diseases in prison populations worldwide: A systematic review. The Lancet, 379(9830), 1975–1982. https://doi.org/10.1016/S0140-6736(12)60319-510.1016/S0140-6736(12)60319-5 ↗
31. Hickman, L. J., Davis, L. M., Wells, E., & Eisman, M. (2010). Tracking inmates and locating staff with active radio-frequency identification (RFID): Early lessons learned in one US correctional facility. RAND Corporation.
32. Hucklesby, A., Beyens, K., Boone, M., Dunkel, F., McIvor, G., & Graham, H. (2016). Creativity and effectiveness in the use of electronic monitoring: A case study of five jurisdictions. http://28uzqb445tcn4c24864ahmel.wpengine.netdna-cdn.com/files/2016/06/Synthesis-report-27-06-16.pdf
33. Hwang, Y. I. J., Simpson, P. L., & Butler, T. G. (2021). Participant experiences of a post-release electronic monitoring program for domestic violence in New South Wales, Australia. Journal of Criminology. https://doi.org/10.1177/2633807621102872910.1177/26338076211028729 ↗
34. Jeong, Y., Heo, S., Lee, G., & Park, W. (2018). Pre-obesity and obesity impacts on passive joint range of motion. Ergonomics, 61(9), 1223–1231. https://doi.org/10.1080/00140139.2018.147845510.1080/00140139.2018.1478455 ↗
35. Johnson, R. A., Milner, K. A., Heng, C., Greer, A. E., & DeNisco, S. (2018). Implementation and evaluation of a physical activity and dietary program in federal incarcerated females. Journal of Correctional Health Care, 24(4), 395–406. https://doi.org/10.1177/107834581879314210.1177/1078345818793142 ↗
36. Kanna, K. R., Sugumaran, V., Vijayaram, T., & Karthikeyan, C. (2016). Activities of daily life (ADL) recognition using wrist-worn accelerometer. International Journal of Engineering and Technology, 4(3), 1406–1413.
37. Kekade, S., Hseieh, C. H., Islam, M. M., Atique, S., Khalfan, A. M., Li, Y. C., & Abdul, S. S. (2018). The usefulness and actual use of wearable devices among the elderly population. Computer Methods and Programs in Biomedicine, 153, 137–159. https://doi.org/10.1016/j.cmpb.2017.10.00810.1016/j.cmpb.2017.10.008 ↗
38. Klum, M., Wolf, M. B., Hahn, P., Leclère, F. M., Bruckner, T., & Unglaub, F. (2012). Normative data on wrist function. The Journal of Hand Surgery, 37(10), 2050–2060. https://doi.org/10.1016/j.jhsa.2012.06.03110.1016/j.jhsa.2012.06.031 ↗
39. Knight, J. F., & Baber, C. (2005). A tool to assess the comfort of wearable computers. Human Factors, 47(1), 77–91. https://doi.org/10.1518/001872005365387510.1518/0018720053653875 ↗
40. Korean Institution of Criminology and Justice. (2021). Quarterly crime report. Korean government. https://www.kic.re.kr/pubdata/public/Read.jsp?paramNttID=14417¶mPage=1
41. KOSIS. (2020). The age at the time of the offender’s offense. Korean government. https://kosis.kr/statHtml/statHtml.do?orgId=132&tblId=DT_13204_4110. Korean Statistical Information Service.
42. Krabben, A., Stomp, W., Huizinga, T. W. J., Van Der Heijde, D., Bloem, J. L., Reijnierse, M., & van der Helm-van Mil, A. H. M. (2015). Concordance between inflammation at physical examination and on MRI in patients with early arthritis. Annals of the Rheumatic Diseases, 74(3), 506–512. https://doi.org/10.1136/annrheumdis-2013-20400510.1136/annrheumdis-2013-204005 ↗
43. LaBat, K. L., & Ryan, K. S. (2019). Human body: A wearable product designer’s guide. CRC Press.10.1201/9780429055690 ↗
44. Laing, R. M., & Sleivert, G. G. (2002). Clothing, textiles, and human performance. Textile Progress, 32(2), 1–122. https://doi.org/10.1080/0040516020868895510.1080/00405160208688955 ↗
45. Laster, K. (2014). The birth of electronic monitoring: Book review essay electronically monitored punishment: International and critical perspectives. Crime, Law and Social Change, 62(4), 515–522. https://doi.org/10.1007/s10611-014-9541-710.1007/s10611-014-9541-7 ↗
46. Lawrence, K. (2020, January 21). Sex offender on the run after cutting off electronic monitoring bracelet. Stuff. https://www.stuff.co.nz/national/118886206/two-sex-offenders-on-the-run-after-cutting-off-their-electronic-monitoring-bracelets. https://doi.org/10.1016/S0749-0712(21)00303-610.1016/S0749-0712(21)00303-6 ↗
47. Lundborg, G., & Dahlin, L. B. (1996). Anatomy, function, and pathophysiology of peripheral nerves and nerve compression. Hand Clinics, 12(2), 185–193. https://doi.org/10.1016/S0749-0712(21)00303-610.1016/S0749-0712(21)00303-6 ↗
48. Luukkainen, R., Sokka, T., Kautiainen, H., Hannonen, P., Laasonen, L., Leirisalo-Repo, M., Korpela, M., Julkunen, H., Puolakka, K., Blåfield, H., Kauppi, M., Möttönen, T., FIN-RACo Trial Group. (2007). Prognosis of 5-year radiographic erosions of the wrist according to early, late, and persistent wrist swelling or tenderness in patients with early rheumatoid arthritis. The Journal of Rheumatology, 34(1), 50–53.
49. Mair, G., Nee, C., Barclay, G., & Wickham, K. (1990). Electronic monitoring: The trials and their results (Vol. 120). HM Stationery Office. https://doi.org/10.1037/E450342008-00110.1037/E450342008-001 ↗
50. Martinovic, M., & Schluter, P. (2012). A researcher’s experience of wearing a GPS-EM device. Current Issues in Criminal Justice, 23(3), 413–432. https://doi.org/10.1080/10345329.2012.1203593210.1080/10345329.2012.12035932 ↗
51. Mitsuno, T., & Kai, A. (2019). Distribution of the preferred clothing pressure over the whole body. Textile Research Journal, 89(11), 2187–2198. https://doi.org/10.1177/004051751878627210.1177/0040517518786272 ↗
52. Morabito, N. (2019, August 5). Defendants aren’t just cutting off ankle monitors; they're letting the batteries die. WCNC. https://www.wcnc.com/article/news/defendants-not-just-cutting-off-ankle-monitors-theyre-letting-the-batteries-die/275-287d4687-fb10-4a23-b743-4d4aca5ea915
53. Motobe, M., Murase, N., Osada, T., Homma, T., Ueda, C., Nagasawa, T., Kitahara, A., Ichimura, S., Kurosawa, Y., Katsumura, T., Hoshika, A., & Hamaoka, T. (2004). Noninvasive monitoring of deterioration in skeletal muscle function with forearm cast immobilization and the prevention of deterioration. Dynamic Medicine, 3(1), 1–1. https://doi.org/10.1186/1476-5918-3-210.1186/1476-5918-3-2 ↗
54. Nancarrow, H., & Modini, T. (2018). Electronic monitoring in the context of domestic and family violence. ANROWS. https://www.anrows.org.au/project/electronic-monitoring-in-the-context-of-domestic-and-family-violence/
55. Nellis, M. (2021). Electronic monitoring around the world. Criminology and Criminal Justice. https://doi.org/10.1093/acrefore/9780190264079.013.64210.1093/acrefore/9780190264079.013.642 ↗
56. Nellis, M., Beyens, K., & Kaminski, D. (Eds.). (2013). Electronically monitored punishment: International and critical perspectives. Routledge.
57. Nelson, D. L., Mitchell, M. A., Groszewski, P. G., Pennick, S. L., & Manske, P. R. (1994). Wrist range of motion in activities of daily living. In F. Schuind, K. N. An, W. P. Cooney III., & M. Garcia-Elias (Eds.), Advances in the biomechanics of the hand and wrist (pp. 329–334). Herald. https://doi.org/10.1007/978-1-4757-9107-5_2910.1007/978-1-4757-9107-5_29 ↗
58. Park, L. H. (2016, February 23). The effect of preventing recidivism vs. desperation... controversy is still ongoing. Herald. http://news.heraldcorp.com/view.php?ud=20160223000418
59. PEW. (2016). Use of electronic offender-tracking devices expands sharply—Number of monitored individuals more than doubled in 10 years. The PEW Charitable Trusts. https://www.pewtrusts.org/en/research-and-analysis/issue-briefs/2016/09/use-of-electronic-offender-tracking-devices-expands-sharply
60. Pinna, B. (2011). What is the meaning of shape? Gestalt Theory, 33(3–4), 383–422.
61. Plugge, E. H., Foster, C. E., Yudkin, P. L., & Douglas, N. (2009). Cardiovascular disease risk factors and women prisoners in the UK: The impact of imprisonment. Health Promotion International, 24(4), 334–343. https://doi.org/10.1093/heapro/dap03410.1093/heapro/dap034 ↗
62. Rachel, S. (2019, February 22). Fact Sheet: Electronic monitoring devices as alternatives to detention. The National Immigration Forum. https://immigrationforum.org/article/fact-sheet-electronic-monitoring-devices-as-alternatives-to-detention
63. Reissner, L., Fischer, G., List, R., Taylor, W. R., Giovanoli, P., & Calcagni, M. (2019). Minimal detectable difference of the finger and wrist range of motion: Comparison of goniometry and 3D motion analysis. Journal of Orthopaedic Surgery and Research, 14(1), 1–10. https://doi.org/10.1186/s13018-019-1177-y10.1186/s13018-019-1177-y ↗
64. Ryu, J. Y., Cooney, W. P., III., Askew, L. J., An, K. N., & Chao, E. Y. (1991). Functional ranges of motion of the wrist joint. The Journal of Hand Surgery, 16(3), 409–419. https://doi.org/10.1016/0363-5023(91)90006-w10.1016/0363-5023(91)90006-w ↗
65. Ser, M. J., & Kim, S. M. (2021, August 30). Justice Ministry under fire for sloppy monitoring of repeat criminal. Korea JoongAng Daily. https://koreajoongangdaily.joins.com/2021/08/30/national/socialAffairs/anklet-sex-offender-murder/20210830180900512.html
66. Vanhaelemeesch, D., Vander Beken, T., & Vandevelde, S. (2014). Punishment at home: Offenders’ experiences with electronic monitoring. European Journal of Criminology, 11(3), 273–287. https://doi.org/10.1177/147737081349384610.1177/1477370813493846 ↗
67. Wang, J., & Hsu, Y. (2019). Does sustainable perceived value play a key role in the purchase intention driven by product aesthetics? Taking smartwatch as an example. Sustainability, 11(23), 6806. https://doi.org/10.3390/su1123680610.3390/su11236806 ↗
68. Wang, J., Wang, Z., & Qiu, S. (2021). Investigate symmetry, complexity, and screen shapes in interface design aesthetics to promote users’ quality perceptions and continuous usage intention of the smartwatch. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2021.192136610.1080/10447318.2021.1921366 ↗
69. Wang, J., Zhong, B., & Wang, H. (2019). Measuring garment pressure at any point using a wearable sensor. Journal of Engineered Fibers and Fabrics. https://doi.org/10.1177/155892501987929010.1177/1558925019879290 ↗
70. Wen, D., Zhang, X., & Lei, J. (2017). Consumers’ perceived attitudes to wearable devices in health monitoring in China: A survey study. Computer Methods and Programs in Biomedicine, 140, 131–137. https://doi.org/10.1016/j.cmpb.2016.12.00910.1016/j.cmpb.2016.12.009 ↗
71. Zhang, M., Dong, H., Fan, X., & Dan, R. (2015). Finite element simulation on clothing pressure and body deformation of the top part of men’s socks using curve fitting equations. International Journal of Clothing Science and Technology, 27(2), 207–220. https://doi.org/10.1108/IJCST-12-2013-013910.1108/IJCST-12-2013-0139 ↗
72. Zhang, X., Yeung, K. W., & Li, Y. (2002). Numerical simulation of 3D dynamic garment pressure. Textile Research Journal, 72(3), 245–252. https://doi.org/10.1177/00405175020720031110.1177/004051750207200311 ↗