Bodylights: Open-ended augmented feedback to support training towards a correct exercise execution

L Turmo Vidal, H Zhu, A Riego-Delgado - … of the 2020 CHI Conference on …, 2020 - dl.acm.org
Technologies targeting a correct execution of physical training exercises typically use pre-
determined models for what they consider correct, automatizing instruction and feedback …

Movement guidance using a mixed reality mirror

Q Zhou, A Irlitti, D Yu, J Goncalves… - Proceedings of the 2022 …, 2022 - dl.acm.org
Mirror reflections offer an intuitive and realistic Mixed Reality (MR) experience comparable
to other MR interfaces. Their high visual fidelity, and the sensorimotor contingency from the …

Reactive video: adaptive video playback based on user motion for supporting physical activity

C Clarke, D Cavdir, P Chiu, L Denoue… - Proceedings of the 33rd …, 2020 - dl.acm.org
Videos are a convenient platform to begin, maintain, or improve a fitness program or
physical activity. Traditional video systems allow users to manipulate videos through specific …

VoLearn: A cross-modal operable motion-learning system combined with virtual avatar and auditory feedback

C **a, X Fang, R Arakawa, Y Sugiura - … of the ACM on Interactive, Mobile …, 2022 - dl.acm.org
Conventional motion tutorials rely mainly on a predefined motion and vision-based feedback
that normally limits the application scenario and requires professional devices. In this paper …

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 …

HAR-CO: A comparative analytical review for recognizing conventional human activity in stream data relying on challenges and approaches

MR Keyvanpour, S Mehrmolaei, SV Shojaeddini… - Multimedia Tools and …, 2024 - Springer
The increase in the use of electronic devices and the high rate of data stream production
such as video reveals the importance of analyzing the content of such data. Content analysis …

Fitsight: Tracking and feedback engine for personalized fitness training

H Kotte, F Daiber, M Kravcik… - Proceedings of the 32nd …, 2024 - dl.acm.org
Physical fitness presents a significant challenge in ensuring proper exercise posture.
Individuals who work out need help maintaining correct exercise posture during their …

FakeForward: using deepfake technology for feedforward learning

C Clarke, J Xu, Y Zhu, K Dharamshi, H McGill… - Proceedings of the …, 2023 - dl.acm.org
Videos are commonly used to support learning of new skills, to improve existing skills, and
as a source of motivation for training. Video self-modelling (VSM) is a learning technique …

Shape-sphere: A metric space for analysing time series by their shape

Y Kowsar, M Moshtaghi, E Velloso, JC Bezdek… - Information …, 2022 - Elsevier
Shape analogy is a key technique in analyzing time series. That is, time series are
compared by how much they look alike. This concept has been applied for many years in …

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 …