Earable computing: A new area to think about

RR Choudhury - Proceedings of the 22nd International Workshop on …, 2021 - dl.acm.org
This position paper argues that earphones hold the potential for major disruptions in mobile,
wearable computing. The early signs are positive and the industrial wheels are in motion …

Auritus: An open-source optimization toolkit for training and development of human movement models and filters using earables

SS Saha, SS Sandha, S Pei, V Jain, Z Wang… - Proceedings of the …, 2022 - dl.acm.org
Smart ear-worn devices (called earables) are being equipped with various onboard sensors
and algorithms, transforming earphones from simple audio transducers to multi-modal …

Exersense: physical exercise recognition and counting algorithm from wearables robust to positioning

S Ishii, A Yokokubo, M Luimula, G Lopez - Sensors, 2020 - mdpi.com
Wearable devices are currently popular for fitness tracking. However, these general usage
devices only can track limited and prespecified exercises. In our previous work, we …

ERICA: enabling real-time mistake detection & corrective feedback for free-weights exercises

M Radhakrishnan, D Rathnayake, OK Han… - Proceedings of the 18th …, 2020 - dl.acm.org
We present ERICA, a digital personal trainer for users performing free weights exercises,
with two key differentiators:(a) First, unlike prior approaches that either require multiple on …

PhysiQ: Off-site Quality Assessment of Exercise in Physical Therapy

HD Wang, M Ma - Proceedings of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Physical therapy (PT) is crucial for patients to restore and maintain mobility, function, and
well-being. Many on-site activities and body exercises are performed under the supervision …

Exersense: Real-time physical exercise segmentation, classification, and counting algorithm using an imu sensor

S Ishii, K Nkurikiyeyezu, M Luimula… - Activity and Behavior …, 2021 - Springer
Even though it is well known that physical exercises have numerous emotional and physical
health benefits, maintaining a regular exercise routine is quite challenging. Fortunately …

W8-Scope: Fine-grained, practical monitoring of weight stack-based exercises

M Radhakrishnan, A Misra, RK Balan - Pervasive and Mobile Computing, 2021 - Elsevier
Fine-grained, unobtrusive monitoring of gym exercises can help users track their own
exercise routines and also provide corrective feedback. We propose W8-Scope, a system …

Applying “earable” inertial sensing for real-time head posture detection

M Radhakrishnan, K Misra… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
We explore the use of personal earable devices for detecting and correcting incorrect head
postures, which can trigger the medical condition of “Forward Head Posture”. We …

Exploring human activities using eSense earable device

MS Islam, T Hossain, MAR Ahad, S Inoue - Activity and Behavior …, 2021 - Springer
Detecting head-and mouth-related human activities of elderly people are very important for
nurse care centers. They need to track different types of activities of elderly people like …

Design space and usability of earable prototyping

T Röddiger, M Beigl, A Exler - … of the 2020 ACM International Symposium …, 2020 - dl.acm.org
Earable computing gains growing attention within research and becomes ubiquitous in
society. However, there is an emerging need for prototyping devices as critical drivers of …