{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T18:10:09Z","timestamp":1758823809627,"version":"3.37.3"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T00:00:00Z","timestamp":1684195200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T00:00:00Z","timestamp":1684195200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Austrian Ministry of Digital and Economic Affairs within the FFG IKT der Zukunft","award":["868220"],"award-info":[{"award-number":["868220"]}]},{"name":"Gesellschaft f\u00fcr Forschungsf\u00f6rderung N\u00d6","award":["SP19-004"],"award-info":[{"award-number":["SP19-004"]}]},{"name":"FH St. P\u00f6lten - University of Applied Sciences"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pers Ubiquit Comput"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this paper, we describe a proof-of-concept for the implementation of a wearable auditory biofeedback system based on a sensor-instrumented insole. Such a system aims to assist everyday users with static and dynamic exercises for gait rehabilitation interventions by providing auditory feedback based on plantar pressure distribution and automated classification of functional gait disorders. As ground reaction force (GRF) data are frequently used in clinical practice to quantitatively describe human motion and have been successfully used for the classification of gait patterns into clinically relevant classes, a feed-forward neural network was implemented on the firmware of the insoles to estimate the GRFs using pressure and acceleration data. The estimated GRFs approximated well the GRF measurements obtained from force plates. To distinguish between physiological gait and gait disorders, we trained and evaluated a support vector machine with labeled data from a publicly accessible dataset. The automated gait classification was then sonified for auditory feedback. The potential of the implemented auditory feedback for preventive and supportive applications in physical therapy was finally assessed with both expert and non-expert participants. A focus group revealed experts\u2019 expectations for the proposed system, while a usability study assessed the clarity of the auditory feedback to everyday users. The evaluation shows promising results regarding the usefulness of our system in this application area.<\/jats:p>","DOI":"10.1007\/s00779-023-01723-2","type":"journal-article","created":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T03:33:58Z","timestamp":1684208038000},"page":"1873-1886","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Auditory feedback in tele-rehabilitation based on automated gait classification"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8477-0453","authenticated-orcid":false,"given":"Victor Adriel","family":"de Jesus Oliveira","sequence":"first","affiliation":[]},{"given":"Djordje","family":"Slijep\u010devi\u0107","sequence":"additional","affiliation":[]},{"given":"Bernhard","family":"Dumphart","sequence":"additional","affiliation":[]},{"given":"Stefan","family":"Ferstl","sequence":"additional","affiliation":[]},{"given":"Joschua","family":"Reis","sequence":"additional","affiliation":[]},{"given":"Anna-Maria","family":"Raberger","sequence":"additional","affiliation":[]},{"given":"Mario","family":"Heller","sequence":"additional","affiliation":[]},{"given":"Brian","family":"Horsak","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Iber","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,5,16]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Tucker, C.A.: Measuring walking: a handbook of clinical gait analysis. LWW (2014)","key":"1723_CR1","DOI":"10.1097\/PEP.0000000000000087"},{"issue":"3","key":"1723_CR2","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/s12193-016-0216-9","volume":"10","author":"B Horsak","year":"2016","unstructured":"Horsak B, Dlapka R, Iber M, Gorgas A-M, Kiselka A, Gradl C, Siragy T, Doppler J (2016) Sonigait: a wireless instrumented insole device for real-time sonification of gait. J Multimodal User Interfaces 10(3):195\u2013206","journal-title":"J Multimodal User Interfaces"},{"issue":"1","key":"1723_CR3","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3758\/s13423-012-0333-8","volume":"20","author":"R Sigrist","year":"2013","unstructured":"Sigrist R, Rauter G, Riener R, Wolf P (2013) Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review. Psychon Bull Rev 20(1):21\u201353","journal-title":"Psychon Bull Rev"},{"issue":"2","key":"1723_CR4","doi-asserted-by":"publisher","first-page":"34","DOI":"10.2478\/ijcss-2019-0012","volume":"18","author":"J Pietschmann","year":"2019","unstructured":"Pietschmann J, Flores FG, J\u00f6llenbeck T (2019) Gait training in orthopedic rehabilitation after joint replacement-back to normal gait with sonification? Int J Comput Sci Sport 18(2):34\u201348","journal-title":"Int J Comput Sci Sport"},{"issue":"1","key":"1723_CR5","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1088\/1361-6579\/38\/1\/45","volume":"38","author":"MA Brodie","year":"2016","unstructured":"Brodie MA, Okubo Y, Annegarn J, Wieching R, Lord SR, Delbaere K (2016) Disentangling the health benefits of walking from increased exposure to falls in older people using remote gait monitoring and multi-dimensional analysis. Physiol Meas 38(1):45","journal-title":"Physiol Meas"},{"issue":"2","key":"1723_CR6","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1089\/rej.2012.1397","volume":"16","author":"EL Cadore","year":"2013","unstructured":"Cadore EL, Rodr\u00edguez-Ma\u00f1as L, Sinclair A, Izquierdo M (2013) Effects of different exercise interventions on risk of falls, gait ability, and balance in physically frail older adults: a systematic review. Rejuvenation Res 16(2):105\u2013114","journal-title":"Rejuvenation Res"},{"issue":"4","key":"1723_CR7","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1016\/j.knee.2019.06.002","volume":"26","author":"S Van Rossom","year":"2019","unstructured":"Van Rossom S, Wesseling M, Smith CR, Thelen DG, Vanwanseele B, Jonkers I et al (2019) The influence of knee joint geometry and alignment on the tibiofemoral load distribution: a computational study. Knee 26(4):813\u2013823","journal-title":"Knee"},{"doi-asserted-by":"crossref","unstructured":"Iber M, Dumphart B, de Jesus Oliveira V-A, Ferstl S, M. Reis J, Slijep\u010devi\u0107 D, Heller M, Raberger A-M, Horsak B, (2021) Mind the steps: towards auditory feedback in tele-rehabilitation based on automated gait classification. Audio Mostly 2021:139\u2013146","key":"1723_CR8","DOI":"10.1145\/3478384.3478398"},{"issue":"5","key":"1723_CR9","doi-asserted-by":"publisher","first-page":"1653","DOI":"10.1109\/JBHI.2017.2785682","volume":"22","author":"D Slijepcevic","year":"2017","unstructured":"Slijepcevic D, Zeppelzauer M, Gorgas A-M, Schwab C, Sch\u00fcller M, Baca A, Breiteneder C, Horsak B (2017) Automatic classification of functional gait disorders. IEEE J Biomed Health Inform 22(5):1653\u20131661","journal-title":"IEEE J Biomed Health Inform"},{"unstructured":"Magill R, Anderson D (2013) Motor learning and control: concepts and applications. McGraw-Hill Publishing New York","key":"1723_CR10"},{"unstructured":"Boyd J, Godbout A (2010) Corrective sonic feedback for speed skating: a case study. Georgia Institute of Technology","key":"1723_CR11"},{"unstructured":"Schaffert N, Mattes K (2012) Acoustic feedback training in adaptive rowing. Georgia Institute of Technology","key":"1723_CR12"},{"key":"1723_CR13","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.apacoust.2014.03.005","volume":"83","author":"L Turchet","year":"2014","unstructured":"Turchet L (2014) Custom made wireless systems for interactive footstep sounds synthesis. Appl Acoust 83:22\u201331","journal-title":"Appl Acoust"},{"key":"1723_CR14","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.apacoust.2015.05.013","volume":"107","author":"L Turchet","year":"2016","unstructured":"Turchet L (2016) Footstep sounds synthesis: design, implementation, and evaluation of foot-floor interactions, surface materials, shoe types, and Walkers\u2019 features. Appl Acoust 107:46\u201368","journal-title":"Appl Acoust"},{"issue":"1\u20132","key":"1723_CR15","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.jns.2007.01.003","volume":"254","author":"Y Baram","year":"2007","unstructured":"Baram Y, Miller A (2007) Auditory feedback control for improvement of gait in patients with multiple sclerosis. J Neurol Sci 254(1\u20132):90\u201394","journal-title":"J Neurol Sci"},{"issue":"10","key":"1723_CR16","doi-asserted-by":"publisher","first-page":"10233","DOI":"10.1109\/JIOT.2020.2997047","volume":"7","author":"L Turchet","year":"2020","unstructured":"Turchet L, Fazekas G, Lagrange M, Ghadikolaei HS, Fischione C (2020) The internet of audio things: state of the art, vision, and challenges. IEEE Internet Things J 7(10):10233\u201310249","journal-title":"IEEE Internet Things J"},{"issue":"12","key":"1723_CR17","doi-asserted-by":"publisher","first-page":"3284","DOI":"10.1109\/TBME.2013.2250972","volume":"60","author":"AM Howell","year":"2013","unstructured":"Howell AM, Kobayashi T, Hayes HA, Foreman KB, Bamberg SJM (2013) Kinetic gait analysis using a low-cost insole. IEEE Trans Biomed Eng 60(12):3284\u20133290","journal-title":"IEEE Trans Biomed Eng"},{"issue":"3","key":"1723_CR18","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1109\/TNSRE.2013.2285410","volume":"22","author":"MWM Rodger","year":"2014","unstructured":"Rodger MWM, Young WR, Craig CM (2014) Synthesis of walking sounds for alleviating gait disturbances in Parkinson\u2019s disease. IEEE Trans Neural Syst Rehabil Eng 22(3):543\u2013548. https:\/\/doi.org\/10.1109\/TNSRE.2013.2285410","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"doi-asserted-by":"crossref","unstructured":"van Rheden V, Grah T, Meschtscherjakov A (2020) Sonification approaches in sports in the past decade: a literature review. In: Proceedings of the 15th International Conference on Audio Mostly. pp 199\u2013205","key":"1723_CR19","DOI":"10.1145\/3411109.3411126"},{"doi-asserted-by":"crossref","unstructured":"Gorgas A-M, Sch\u00f6n L, Dlapka R, Doppler J, Iber M, Gradl C, Kiselka A, Siragy T, Horsak B (2017) Short-term effects of real-time auditory display (sonification) on gait parameters in people with Parkinsons\u2019 disease-a pilot study. In: Converging Clinical and Engineering Research on Neurorehabilitation II. Springer, pp 855\u2013859","key":"1723_CR20","DOI":"10.1007\/978-3-319-46669-9_139"},{"issue":"3","key":"1723_CR21","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.scispo.2019.12.004","volume":"35","author":"J Guerra","year":"2020","unstructured":"Guerra J, Smith L, Vicinanza D, Stubbs B, Veronese N, Williams G (2020) The use of sonification for physiotherapy in human movement tasks: a scoping review. Sci Sports 35(3):119\u2013129. https:\/\/doi.org\/10.1016\/j.scispo.2019.12.004","journal-title":"Sci Sports"},{"doi-asserted-by":"crossref","unstructured":"Park J, Na Y, Gu G, Kim J (2016) Flexible insole ground reaction force measurement shoes for jumping and running. In: 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). IEEE, pp 1062\u20131067","key":"1723_CR22","DOI":"10.1109\/BIOROB.2016.7523772"},{"doi-asserted-by":"crossref","unstructured":"Dyer PS, Bamberg SJM (2011) Instrumented insole vs. force plate: a comparison of center of plantar pressure. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, pp 6805\u20136809","key":"1723_CR23","DOI":"10.1109\/IEMBS.2011.6091678"},{"unstructured":"De\u00a0Rossi S, Donati M, Vitiello N, Lenzi T, Giovacchini F, Carrozza M (2012) A wireless pressure-sensitive insole for gait analysis. Congr Naz di Bioingegneria 1\u20132","key":"1723_CR24"},{"issue":"3","key":"1723_CR25","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1016\/j.gaitpost.2006.05.010","volume":"25","author":"A Putti","year":"2007","unstructured":"Putti A, Arnold G, Cochrane L, Abboud R (2007) The pedar\u00ae in-shoe system: repeatability and normal pressure values. Gait & Posture 25(3):401\u2013405","journal-title":"Gait & Posture"},{"unstructured":"Rosquist PG (2017) Modeling three dimensional ground reaction force using nanocomposite Piezoresponsive foam sensors. Brigham Young University","key":"1723_CR26"},{"issue":"9","key":"1723_CR27","doi-asserted-by":"publisher","first-page":"1427","DOI":"10.1016\/j.jbiomech.2003.12.016","volume":"37","author":"AF Cordero","year":"2004","unstructured":"Cordero AF, Koopman H, Van Der Helm F (2004) Use of pressure insoles to calculate the complete ground reaction forces. J Biomech 37(9):1427\u20131432","journal-title":"J Biomech"},{"issue":"3","key":"1723_CR28","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/j.gaitpost.2010.05.014","volume":"32","author":"H Rouhani","year":"2010","unstructured":"Rouhani H, Favre J, Crevoisier X, Aminian K (2010) Ambulatory assessment of 3D ground reaction force using plantar pressure distribution. Gait Posture 32(3):311\u2013316","journal-title":"Gait Posture"},{"key":"1723_CR29","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1016\/j.gaitpost.2019.03.021","volume":"70","author":"J He","year":"2019","unstructured":"He J, Lippmann K, Shakoor N, Ferrigno C, Wimmer MA (2019) Unsupervised gait retraining using a wireless pressure-detecting shoe insole. Gait Posture 70:408\u2013413","journal-title":"Gait Posture"},{"issue":"11","key":"1723_CR30","doi-asserted-by":"publisher","first-page":"3136","DOI":"10.1109\/TBME.2019.2900863","volume":"66","author":"A Turner","year":"2019","unstructured":"Turner A, Hayes S (2019) The classification of minor gait alterations using wearable sensors and deep learning. IEEE Trans Biomed Eng 66(11):3136\u20133145","journal-title":"IEEE Trans Biomed Eng"},{"issue":"3","key":"1723_CR31","doi-asserted-by":"publisher","first-page":"60","DOI":"10.3390\/mti4030060","volume":"4","author":"S Biesmans","year":"2020","unstructured":"Biesmans S, Markopoulos P (2020) Design and evaluation of sonis, a wearable biofeedback system for gait retraining. Multimodal Technol Interact 4(3):60","journal-title":"Multimodal Technol Interact"},{"issue":"7","key":"1723_CR32","doi-asserted-by":"publisher","first-page":"16589","DOI":"10.3390\/s150716589","volume":"15","author":"I Gonz\u00e1lez","year":"2015","unstructured":"Gonz\u00e1lez I, Fontecha J, Herv\u00e1s R, Bravo J (2015) An ambulatory system for gait monitoring based on wireless sensorized insoles. Sensors 15(7):16589\u201316613","journal-title":"Sensors"},{"key":"1723_CR33","first-page":"1-","volume":"28","author":"J Hohagen","year":"2018","unstructured":"Hohagen J, W\u00f6llner C (2018) Bewegungssonifikation: psychologische grundlagen und auswirkungen der verklanglichung menschlicher handlungen in der rehabilitation, im sport und bei musikauff\u00fchrungen. Jahrbuch Musikpsychologie 28:1--36","journal-title":"Jahrbuch Musikpsychologie"},{"issue":"2","key":"1723_CR34","doi-asserted-by":"publisher","first-page":"421","DOI":"10.3390\/s18020421","volume":"18","author":"X Hu","year":"2018","unstructured":"Hu X, Zhao J, Peng D, Sun Z, Qu X (2018) Estimation of foot plantar center of pressure trajectories with low-cost instrumented insoles using an individual-specific nonlinear model. Sensors 18(2):421","journal-title":"Sensors"},{"unstructured":"Jagos H (2016) Mobile gait analysis via instrumented shoe insoles-eshoe: detection of movement patterns and features in healthy subjects and hip fracture patients. PhD thesis, TU Wien","key":"1723_CR35"},{"issue":"1","key":"1723_CR36","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s13246-013-0236-7","volume":"37","author":"F Mart\u00ednez-Mart\u00ed","year":"2014","unstructured":"Mart\u00ednez-Mart\u00ed F, Mart\u00ednez-Garc\u00eda MS, Garc\u00eda-D\u00edaz SG, Garc\u00eda-Jim\u00e9nez J, Palma AJ, Carvajal MA (2014) Embedded sensor insole for wireless measurement of gait parameters. Australas Phys Eng Sci Med 37(1):25\u201335","journal-title":"Australas Phys Eng Sci Med"},{"issue":"9","key":"1723_CR37","doi-asserted-by":"publisher","DOI":"10.1115\/1.4030892","volume":"137","author":"T Sim","year":"2015","unstructured":"Sim T, Kwon H, Oh SE, Joo S-B, Choi A, Heo HM, Kim K, Mun JH (2015) Predicting complete ground reaction forces and moments during gait with insole plantar pressure information using a wavelet neural network. J Biomech Eng 137(9):091001","journal-title":"J Biomech Eng"},{"unstructured":"Dumphart, B., Schimakno, M., N\u00f6stlinger, S., Iber, M., Horsak, B., Heller, M.: Validity and reliability of a mobile insole to measure vertical ground reaction force during walking. Virtual Meeting (2021)","key":"1723_CR38"},{"doi-asserted-by":"crossref","unstructured":"Sivakumar S, Gopalai A, Gouwanda D, Hann LK (2016) ANN for gait estimations: a review on current trends and future applications. In: 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE, pp 311\u2013316","key":"1723_CR39","DOI":"10.1109\/IECBES.2016.7843464"},{"issue":"12","key":"1723_CR40","doi-asserted-by":"publisher","first-page":"253","DOI":"10.3390\/a12120253","volume":"12","author":"T Zhen","year":"2019","unstructured":"Zhen T, Yan L, Yuan P (2019) Walking gait phase detection based on acceleration signals using LSTM-DNN algorithm. Algorithms 12(12):253","journal-title":"Algorithms"},{"issue":"3","key":"1723_CR41","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1123\/jab.15.3.318","volume":"15","author":"B Yu","year":"1999","unstructured":"Yu B, Gabriel D, Noble L, An K-N (1999) Estimate of the optimum cutoff frequency for the butterworth low-pass digital filter. J Appl Biomech 15(3):318\u2013329","journal-title":"J Appl Biomech"},{"issue":"1","key":"1723_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41597-020-0481-z","volume":"7","author":"B Horsak","year":"2020","unstructured":"Horsak B, Slijepcevic D, Raberger A-M, Schwab C, Worisch M, Zeppelzauer M (2020) Gaitrec, a large-scale ground reaction force dataset of healthy and impaired gait. Sci Data 7(1):1\u20138","journal-title":"Sci Data"},{"unstructured":"Chang C-C, Lin C-J (2001) LIBSVM: a library for support vector machines. http.www.csie.ntu.edu.tw\/cjlin\/libsvm\/","key":"1723_CR43"},{"issue":"2","key":"1723_CR44","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1023\/A:1009715923555","volume":"2","author":"CJ Burges","year":"1998","unstructured":"Burges CJ (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc 2(2):121\u2013167","journal-title":"Data Min Knowl Disc"},{"unstructured":"Bullock J, Momeni A (2015) Ml. lib: robust, cross-platform, open-source machine learning for max and pure data. In: NIME. pp 265\u2013270","key":"1723_CR45"},{"unstructured":"Chang C-C, Lin C-J (2001) LIBSVM: a library for support vector machines. http.www.csie.ntu.edu.tw\/cjlin\/libsvm\/","key":"1723_CR46"},{"issue":"1","key":"1723_CR47","first-page":"3483","volume":"15","author":"N Gillian","year":"2014","unstructured":"Gillian N, Paradiso JA (2014) The gesture recognition toolkit. J Mach Learn Res 15(1):3483\u20133487","journal-title":"J Mach Learn Res"},{"unstructured":"Farnell A (2010) Designing sound. Mit Press","key":"1723_CR48"},{"doi-asserted-by":"crossref","unstructured":"Sauro J, Dumas JS (2009) Comparison of three one-question, post-task usability questionnaires. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM","key":"1723_CR49","DOI":"10.1145\/1518701.1518946"},{"doi-asserted-by":"crossref","unstructured":"Hart SG (2006) NASA-task load index (NASA-TLX); 20 years later. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol 50. Sage Publications, pp 904\u2013908","key":"1723_CR50","DOI":"10.1177\/154193120605000909"},{"issue":"6","key":"1723_CR51","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1080\/10447310802205776","volume":"24","author":"A Bangor","year":"2008","unstructured":"Bangor A, Kortum PT, Miller JT (2008) An empirical evaluation of the system usability scale. Int J Hum Comput Interact 24(6):574\u2013594","journal-title":"Int J Hum Comput Interact"},{"issue":"11","key":"1723_CR52","doi-asserted-by":"publisher","first-page":"0207136","DOI":"10.1371\/journal.pone.0207136","volume":"13","author":"A Garzo","year":"2018","unstructured":"Garzo A, Silva PA, Garay-Vitoria N, Hernandez E, Cullen S, Cochen De Cock V, Ihalainen P, Villing R (2018) Design and development of a gait training system for Parkinson\u2019s disease. PloS One 13(11):0207136","journal-title":"PloS One"},{"doi-asserted-by":"crossref","unstructured":"Hall S, Wild F et al (2019) Real-time auditory biofeedback system for learning a novel arm trajectory: a usability study. In: Perspectives on Wearable Enhanced Learning (WELL). Springer, pp 385\u2013409","key":"1723_CR53","DOI":"10.1007\/978-3-319-64301-4_18"},{"doi-asserted-by":"crossref","unstructured":"Gao Y, Zhai Y, Hao M, Wang L, Hao A (2021) Research on the usability of hand motor function training based on VR system. In: 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). IEEE, pp 354\u2013358","key":"1723_CR54","DOI":"10.1109\/ISMAR-Adjunct54149.2021.00080"},{"issue":"194","key":"1723_CR55","first-page":"4","volume":"189","author":"J Brooke","year":"1996","unstructured":"Brooke J et al (1996) SUS-A quick and dirty usability scale. Usability Evaluation in Industry 189(194):4\u20137","journal-title":"Usability Evaluation in Industry"},{"issue":"2","key":"1723_CR56","first-page":"29","volume":"8","author":"J Brooke","year":"2013","unstructured":"Brooke J (2013) SUS: a retrospective. J Usability Stud 8(2):29\u201340","journal-title":"J Usability Stud"},{"issue":"3","key":"1723_CR57","first-page":"114","volume":"4","author":"A Bangor","year":"2009","unstructured":"Bangor A, Kortum P, Miller J (2009) Determining what individual SUS scores mean: Adding an adjective rating scale. J Usability Stud 4(3):114\u2013123","journal-title":"J Usability Stud"},{"unstructured":"Lazar J, Feng JH, Hochheiser H (2017) Research methods in human-computer interaction. Morgan Kaufmann","key":"1723_CR58"},{"doi-asserted-by":"crossref","unstructured":"Barry MJ, Edgman-Levitan S (2012) Shared decision making\u2013the pinnacle patient-centered care","key":"1723_CR59","DOI":"10.1056\/NEJMp1109283"},{"unstructured":"World Health Organization, World Health Organization. Ageing, & Life Course Unit (2008) WHO global report on falls prevention in older age. World Health Organization","key":"1723_CR60"},{"issue":"1","key":"1723_CR61","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12889-020-09301-4","volume":"20","author":"E Monaghesh","year":"2020","unstructured":"Monaghesh E, Hajizadeh A (2020) The role of telehealth during COVID-19 outbreak: a systematic review based on current evidence. BMC Public Health 20(1):1\u20139","journal-title":"BMC Public Health"},{"issue":"5","key":"1723_CR62","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.3758\/s13423-015-0814-7","volume":"22","author":"R Lewthwaite","year":"2015","unstructured":"Lewthwaite R, Chiviacowsky S, Drews R, Wulf G (2015) Choose to move: The motivational impact of autonomy support on motor learning. Psychon Bull Rev 22(5):1383\u20131388","journal-title":"Psychon Bull Rev"},{"issue":"1","key":"1723_CR63","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40520-017-0749-0","volume":"30","author":"S-H Park","year":"2018","unstructured":"Park S-H (2018) Tools for assessing fall risk in the elderly: a systematic review and meta-analysis. Aging Clin Exp Res 30(1):1\u201316","journal-title":"Aging Clin Exp Res"}],"container-title":["Personal and Ubiquitous Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-023-01723-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00779-023-01723-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-023-01723-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T05:06:15Z","timestamp":1697778375000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00779-023-01723-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,16]]},"references-count":63,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["1723"],"URL":"https:\/\/doi.org\/10.1007\/s00779-023-01723-2","relation":{},"ISSN":["1617-4909","1617-4917"],"issn-type":[{"type":"print","value":"1617-4909"},{"type":"electronic","value":"1617-4917"}],"subject":[],"published":{"date-parts":[[2023,5,16]]},"assertion":[{"value":"31 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 March 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The co-authors Stefan Ferstl and Joschua Reis were employed by the company partner stAPPtronics for the duration of this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}