Sensing with earables: A systematic literature review and taxonomy of phenomena

T Röddiger, C Clarke, P Breitling… - Proceedings of the …, 2022 - dl.acm.org
Earables have emerged as a unique platform for ubiquitous computing by augmenting ear-
worn devices with state-of-the-art sensing. This new platform has spurred a wealth of new …

A perspective on human activity recognition from inertial motion data

W Gomaa, MA Khamis - Neural Computing and Applications, 2023 - Springer
Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

ikan: Global incremental learning with kan for human activity recognition across heterogeneous datasets

M Liu, S Bian, B Zhou, P Lukowicz - Proceedings of the 2024 ACM …, 2024 - dl.acm.org
This work proposes an incremental learning (IL) framework for wearable sensor human
activity recognition (HAR) that tackles two challenges simultaneously: catastrophic forgetting …

SAMoSA: Sensing activities with motion and subsampled audio

V Mollyn, K Ahuja, D Verma, C Harrison… - Proceedings of the ACM …, 2022 - dl.acm.org
Despite advances in audio-and motion-based human activity recognition (HAR) systems, a
practical, power-efficient, and privacy-sensitive activity recognition system has remained …

Approaching the real-world: Supporting activity recognition training with virtual imu data

H Kwon, B Wang, GD Abowd, T Plötz - … of the ACM on Interactive, Mobile …, 2021 - dl.acm.org
Recently, IMUTube introduced a paradigm change for bootstrapping human activity
recognition (HAR) systems for wearables. The key idea is to utilize videos of activities to …

ActSonic: Recognizing Everyday Activities from Inaudible Acoustic Wave Around the Body

S Mahmud, V Parikh, Q Liang, K Li, R Zhang… - Proceedings of the …, 2024 - dl.acm.org
We present ActSonic, an intelligent, low-power active acoustic sensing system integrated
into eyeglasses that can recognize 27 different everyday activities (eg, eating, drinking …

DiscoBand: Multiview Depth-Sensing Smartwatch Strap for Hand, Body and Environment Tracking

N Devrio, C Harrison - Proceedings of the 35th Annual ACM Symposium …, 2022 - dl.acm.org
Real-time tracking of a user's hands, arms and environment is valuable in a wide variety of
HCI applications, from context awareness to virtual reality. Rather than rely on fixed and …

Differentiable neural network pruning to enable smart applications on microcontrollers

E Liberis, ND Lane - Proceedings of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Wearable, embedded, and IoT devices are a centrepiece of many ubiquitous computing
applications, such as fitness tracking, health monitoring, home security and voice assistants …

Integrating Gaze and Mouse Via Joint Cross-Attention Fusion Net for Students' Activity Recognition in E-learning

R Zhu, L Shi, Y Song, ZM Cai - Proceedings of the ACM on Interactive …, 2023 - dl.acm.org
E-learning has emerged as an indispensable educational mode in the post-epidemic era.
However, this mode makes it difficult for students to stay engaged in learning without …

Quali-mat: Evaluating the quality of execution in body-weight exercises with a pressure sensitive sports mat

B Zhou, S Suh, VF Rey, CAV Altamirano… - Proceedings of the ACM …, 2022 - dl.acm.org
While sports activity recognition is a well studied subject in mobile, wearable and ubiquitous
computing, work to date mostly focuses on recognition and counting of specific exercise …