Facilitating Bodily Insights Using Electromyography-Based Biofeedback during Physical Activity

Physical exercises can benefit our health, but avoiding improper form and overexertion is essential. Facilitating bodily insights can encourage learning about exercise form, allowing users to gain a deeper understanding of their physiology. To investigate this, we conducted a lab experiment where amateur users performed bicep curls, and interviews with sports coaches. Participants were provided with FitBack—a system that monitors muscle activity during exercises via electromyography (EMG) and offers real-time biofeedback. Amateurs reported that they were successful in improving their exercise form and could acquire deeper bodily insights. Coaches reflected on how understanding muscle activity through EMG could be effectively used for increasing body awareness during coaching, highlighting that EMG-based biofeedback is beneficial for a diverse set of users. Our work contributes insights into using bodily sensing to help users understand their bodies. We contribute guidelines for designing systems that use EMG biofeedback effectively in physical activity.

[1]  Ann Blandford,et al.  Qualitative HCI Research: Going Behind the Scenes , 2016, Synthesis Lectures on Human-Centered Informatics.

[2]  Frederik Wiehr,et al.  FootStriker: An EMS-based Foot Strike Assistant for Running , 2017, IMWUT.

[3]  P WożniakMikołaj,et al.  Subtletee: Augmenting Posture Awareness for Beginner Golfers , 2020 .

[4]  Desney S. Tan,et al.  Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces , 2008, CHI.

[5]  Albrecht Schmidt,et al.  EMGuitar: Assisting Guitar Playing with Electromyography , 2018, Conference on Designing Interactive Systems.

[6]  Pattie Maes,et al.  Intimate interfaces in action: assessing the usability and subtlety of emg-based motionless gestures , 2007, CHI.

[7]  Elena Márquez Segura,et al.  Enlightened Yoga: Designing an Augmented Class with Wearable Lights to Support Instruction , 2019, Conference on Designing Interactive Systems.

[8]  Albrecht Schmidt,et al.  Clairbuoyance: Improving Directional Perception for Swimmers , 2019, CHI.

[9]  J. Démos Getting Started with Neurofeedback , 2005 .

[10]  A. Hutchinson,et al.  The role of body awareness and mindfulness in the relationship between exercise and eating behavior. , 2013, Journal of sport & exercise psychology.

[11]  R. Croce,et al.  The effects of EMG biofeedback on strength acquisition , 1986, Biofeedback and self-regulation.

[12]  Paul Lukowicz,et al.  Smart-mat: recognizing and counting gym exercises with low-cost resistive pressure sensing matrix , 2014, UbiComp.

[13]  D T Barry,et al.  Acoustic and surface EMG diagnosis of pediatric muscle disease , 1990, Muscle & nerve.

[14]  Elena Márquez Segura,et al.  Movement Correction in Instructed Fitness Training: Design Recommendations and Opportunities , 2018, Conference on Designing Interactive Systems.

[15]  J. J. Higgins,et al.  The aligned rank transform for nonparametric factorial analyses using only anova procedures , 2011, CHI.

[16]  Jürgen Steimle,et al.  PhysioSkin: Rapid Fabrication of Skin-Conformal Physiological Interfaces , 2020, CHI.

[17]  R. Goebel,et al.  Real-Time Functional Magnetic Resonance Imaging Neurofeedback for Treatment of Parkinson's Disease , 2011, The Journal of Neuroscience.

[18]  K Søgaard,et al.  The use of EMG biofeedback for learning of selective activation of intra-muscular parts within the serratus anterior muscle: a novel approach for rehabilitation of scapular muscle imbalance. , 2010, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[19]  Albrecht Schmidt,et al.  EMBody: A Data-Centric Toolkit for EMG-Based Interface Prototyping and Experimentation , 2021, Proc. ACM Hum. Comput. Interact..

[20]  E. Sokhadze,et al.  Neurofeedback Effects on Evoked and Induced EEG Gamma Band Reactivity to Drug-related Cues in Cocaine Addiction. , 2010, Journal of neurotherapy.

[21]  Antonio Krüger,et al.  User-independent real-time hand gesture recognition based on surface electromyography , 2017, MobileHCI.

[22]  Andrzej Romanowski,et al.  Subtletee: Augmenting Posture Awareness for Beginner Golfers , 2020, Proc. ACM Hum. Comput. Interact..

[23]  Laia Turmo Vidal,et al.  BodyLights: Open-Ended Augmented Feedback to Support Training Towards a Correct Exercise Execution , 2020, CHI.

[24]  Perttu Hämäläinen Interactive video mirrors for sports training , 2004, NordiCHI '04.

[25]  Aykut Coskun,et al.  Designing the Next Generation of Activity Trackers for Performance Sports: Insights from Elite Tennis Coaches , 2019, CHI Extended Abstracts.

[26]  Jun Hu,et al.  StressTree: A Metaphorical Visualization for Biofeedback-assisted Stress Management , 2017, Conference on Designing Interactive Systems.

[27]  Kaj Grønbæk,et al.  Design sensitivities for interactive sport-training games , 2014, Conference on Designing Interactive Systems.

[28]  Erik Peper,et al.  Biofeedback an evidence based approach in clinical practice , 2009 .

[29]  E. Adrian,et al.  The discharge of impulses in motor nerve fibres , 1929, The Journal of physiology.

[30]  Paul Strohmeier,et al.  PolySense: Augmenting Textiles with Electrical Functionality using In-Situ Polymerization , 2020, CHI.

[31]  C. Somaschini,et al.  Drafting Effect in Cycling: Investigation by Wind Tunnel Tests , 2016 .

[32]  P. Bonato,et al.  Visual EMG Biofeedback to Improve Ankle Function in Hemiparetic Gait , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[33]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[34]  David W. McDonald,et al.  Theory-driven design strategies for technologies that support behavior change in everyday life , 2009, CHI.

[35]  Heinrich H. Bülthoff,et al.  Use the Right Sound for the Right Job: Verbal Commands and Auditory Icons for a Task-Management System Favor Different Information Processes in the Brain , 2018, CHI.

[36]  D. Moss Handbook of mind-body medicine for primary care , 2003 .

[37]  R. L. Forge Aligning Mind and Body: Exploring the Disciplines of Mindful Exercise , 2005 .

[38]  Hugo Fuks,et al.  Qualitative activity recognition of weight lifting exercises , 2013, AH.

[39]  Albrecht Schmidt,et al.  The Brain Matters: A 3D Real-Time Visualization to Examine Brain Source Activation Leveraging Neurofeedback , 2016, CHI Extended Abstracts.

[40]  Eamonn O'Neill,et al.  Auditory icon and earcon mobile service notifications: intuitiveness, learnability, memorability and preference , 2009, CHI.

[41]  W S Pease,et al.  Biofeedback and functional electric stimulation in stroke rehabilitation. , 1988, Archives of physical medicine and rehabilitation.

[42]  Corina Sas,et al.  Body Matters: Exploration of the Human Body as a Resource for the Design of Technologies for Meditation , 2020, Conference on Designing Interactive Systems.

[43]  Greg W. Schmidt,et al.  Sport Commitment: A Model Integrating Enjoyment, Dropout, and Burnout , 1991 .

[44]  W. Yoo,et al.  Effect of EMG‐based Feedback on Posture Correction during Computer Operation , 2012, Journal of occupational health.

[45]  Roberto Merletti,et al.  Surface Electromyography: Physiology, engineering, and applications , 2016 .

[46]  V. Parra‐Vega,et al.  Electromyography Biofeedback Exergames to Enhance Grip Strength and Motivation. , 2017, Games for health journal.

[47]  A. Waterman,et al.  Changing interests: A longitudinal study of intrinsic motivation for personally salient activities , 2006 .

[48]  Suranga Nanayakkara,et al.  GymSoles: Improving Squats and Dead-Lifts by Visualizing the User's Center of Pressure , 2019, CHI.

[49]  Siegfried Othmer,et al.  Effects of an EEG Biofeedback Protocol on a Mixed Substance Abusing Population , 2005, The American journal of drug and alcohol abuse.

[50]  Michael B. Holte,et al.  The Influence of Biofeedback on Exercise Correctness and Muscle Activity , 2017, ArtsIT/DLI.

[51]  James Fogarty,et al.  Leveraging Dual-Observable Input for Fine-Grained Thumb Interaction Using Forearm EMG , 2015, UIST.

[52]  Markus Funk,et al.  Comparing Tactile, Auditory, and Visual Assembly Error-Feedback for Workers with Cognitive Impairments , 2016, ASSETS.

[53]  N. Moore,et al.  A Review of EEG Biofeedback Treatment of Anxiety Disorders , 2000, Clinical EEG.

[54]  Albrecht Schmidt,et al.  Hit the Thumb Jack! Using Electromyography to Augment the Piano Keyboard , 2020, Conference on Designing Interactive Systems.

[55]  Juha Röning,et al.  MyoGym: introducing an open gym data set for activity recognition collected using myo armband , 2017, UbiComp/ISWC Adjunct.

[56]  Dan Morris,et al.  RecoFit: using a wearable sensor to find, recognize, and count repetitive exercises , 2014, CHI.

[57]  Mike Y. Chen,et al.  StrengthGaming: Enabling Dynamic Repetition Tempo in Strength Training-based Exergame Design , 2020, MobileHCI.

[58]  Sandra G. Hart,et al.  Nasa-Task Load Index (NASA-TLX); 20 Years Later , 2006 .

[59]  Hiroshi Yokoi,et al.  Development of a multi-DOF electromyography prosthetic system using the adaptive joint mechanism , 2006 .

[60]  Petros Daras,et al.  Three-dimensional monitoring of weightlifting for computer assisted training , 2013, VRIC.

[61]  Henry Pollard,et al.  STRENGTH TRAINING ANATOMY , 2002, Australasian Chiropractic & Osteopathy.

[62]  B. Leveau,et al.  Selective training of the vastus medialis muscle using EMG biofeedback. , 1980, Physical therapy.

[63]  Tanja Schultz,et al.  Advancing Muscle-Computer Interfaces with High-Density Electromyography , 2015, CHI.

[64]  Desney S. Tan,et al.  Making muscle-computer interfaces more practical , 2010, CHI.

[65]  I V Gartha What is Biofeedback? , 1976, Canadian family physician Medecin de famille canadien.

[66]  L. James,et al.  Estimating within-group interrater reliability with and without response bias. , 1984 .

[67]  Chris Harrison,et al.  GymCam: Detecting, Recognizing and Tracking Simultaneous Exercises in Unconstrained Scenes , 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

[68]  Jodi Forlizzi,et al.  Understanding my data, myself: supporting self-reflection with ubicomp technologies , 2011, UbiComp '11.

[69]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[70]  Tovi Grossman,et al.  YouMove: enhancing movement training with an augmented reality mirror , 2013, UIST.

[71]  Kraig Finstad,et al.  The Usability Metric for User Experience , 2010, Interact. Comput..