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 …
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
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 …
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
This work proposes an incremental learning (IL) framework for wearable sensor human
activity recognition (HAR) that tackles two challenges simultaneously: catastrophic forgetting …
activity recognition (HAR) that tackles two challenges simultaneously: catastrophic forgetting …
SAMoSA: Sensing activities with motion and subsampled audio
Despite advances in audio-and motion-based human activity recognition (HAR) systems, a
practical, power-efficient, and privacy-sensitive activity recognition system has remained …
practical, power-efficient, and privacy-sensitive activity recognition system has remained …
Approaching the real-world: Supporting activity recognition training with virtual imu data
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 …
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
We present ActSonic, an intelligent, low-power active acoustic sensing system integrated
into eyeglasses that can recognize 27 different everyday activities (eg, eating, drinking …
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 …
HCI applications, from context awareness to virtual reality. Rather than rely on fixed and …
Differentiable neural network pruning to enable smart applications on microcontrollers
Wearable, embedded, and IoT devices are a centrepiece of many ubiquitous computing
applications, such as fitness tracking, health monitoring, home security and voice assistants …
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
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 …
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
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 …
computing, work to date mostly focuses on recognition and counting of specific exercise …