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MuscleIO: Muscle-Based Input and Output for Casual Notifications

Published: 05 July 2018 Publication History

Abstract

Receiving and reacting to notifications on mobile devices can be cumbersome. We propose MuscleIO, the use of electrical muscle stimulation (EMS) for notification output and electromyography (EMG) for reacting to notifications. Our approach provides a one-handed, eyes-free, and low-effort way of dealing with notifications. We built a prototype that interleaves muscle input and muscle output signals using the same electrodes. EMS and EMG alternate such that the EMG input signal is measured in the gaps of the EMS output signal, so voluntary muscle contraction is measured during muscle stimulation.
Notifications are represented as EMS signals and are accepted or refused either by a directional or a time-based EMG response. A lab user study with 12 participants shows that the directional EMG response is superior to the time-based response in terms of reaction time, error rate, and user preference. Furthermore, the directional approach is the fastest and the most intuitive for users compared to a button-based smartwatch interface as a baseline.

Supplementary Material

duente (duente.zip)
Supplemental movie, appendix, image and software files for, MuscleIO: Muscle-Based Input and Output for Casual Notifications

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Cited By

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  • (2024)CaseTouch: Occlusion-Free Touch Input by adding a Thin Sensor Stripe to the Smartwatch CaseProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701583(172-183)Online publication date: 1-Dec-2024
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  • (2023)Evaluation of Electric Muscle Stimulation Method for Haptic Augmented RealitySensors10.3390/s2304179623:4(1796)Online publication date: 5-Feb-2023
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Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 2, Issue 2
June 2018
741 pages
EISSN:2474-9567
DOI:10.1145/3236498
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 05 July 2018
Accepted: 01 April 2018
Revised: 01 April 2018
Received: 01 February 2018
Published in IMWUT Volume 2, Issue 2

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Author Tags

  1. EMG
  2. EMS
  3. Notifications
  4. electrical muscle stimulation
  5. electromyography
  6. muscle input
  7. muscle output
  8. wearable

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Cited By

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  • (2024)CaseTouch: Occlusion-Free Touch Input by adding a Thin Sensor Stripe to the Smartwatch CaseProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701583(172-183)Online publication date: 1-Dec-2024
  • (2024)ThermalGrasp: Enabling Thermal Feedback even while Grasping and Walking2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00056(342-353)Online publication date: 16-Mar-2024
  • (2023)Evaluation of Electric Muscle Stimulation Method for Haptic Augmented RealitySensors10.3390/s2304179623:4(1796)Online publication date: 5-Feb-2023
  • (2023)PPG2EMG: Estimating Upper-Arm Muscle Activities and EMG from Wrist PPG ValuesSensors10.3390/s2304178223:4(1782)Online publication date: 5-Feb-2023
  • (2023)Towards Improving Spatial Orientation using Electrical Muscle Stimulation as Tactile and Force FeedbackProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3631792(512-514)Online publication date: 3-Dec-2023
  • (2023)Colorful Electrotactile Feedback on the WristProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627800(172-184)Online publication date: 3-Dec-2023
  • (2023)How Do People with Limited Movement Personalize Upper-Body Gestures? Considerations for the Design of Personalized and Accessible Gesture InterfacesProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608430(1-15)Online publication date: 22-Oct-2023
  • (2023)Assisting with Fingertip Force Control by Active Bio-Acoustic Sensing and Electrical Muscle StimulationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581192(1-13)Online publication date: 19-Apr-2023
  • (2023)Fingerhints: Understanding Users’ Perceptions of and Preferences for On-Finger Kinesthetic NotificationsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581022(1-17)Online publication date: 19-Apr-2023
  • (2023)A Framework and Call to Action for the Future Development of EMG-Based Input in HCIProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580962(1-23)Online publication date: 19-Apr-2023
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