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 …
Body-worn sensors for recognizing physical sports activities in Exergaming via deep learning model
MM Afsar, S Saqib, M Aladfaj, MH Alatiyyah… - IEEE …, 2023 - ieeexplore.ieee.org
Obesity and laziness are some of the common issues in the majority of the youth today. This
has led to the development of a proposed exergaming solution where users can play first …
has led to the development of a proposed exergaming solution where users can play first …
Auritus: An open-source optimization toolkit for training and development of human movement models and filters using earables
Smart ear-worn devices (called earables) are being equipped with various onboard sensors
and algorithms, transforming earphones from simple audio transducers to multi-modal …
and algorithms, transforming earphones from simple audio transducers to multi-modal …
AI-to-Human Actuation: Boosting Unmodified AI's Robustness by Proactively Inducing Favorable Human Sensing Conditions
Imagine a near-future smart home. Home-embedded visual AI sensors continuously monitor
the resident, inferring her activities and internal states that enable higher-level services …
the resident, inferring her activities and internal states that enable higher-level services …
ProxiFit: Proximity Magnetic Sensing Using a Single Commodity Mobile toward Holistic Weight Exercise Monitoring
Although many works bring exercise monitoring to smartphone and smartwatch, inertial
sensors used in such systems require device to be in motion to detect exercises. We …
sensors used in such systems require device to be in motion to detect exercises. We …
IDIoT: Multimodal framework for ubiquitous identification and assignment of human-carried wearable devices
IoT (Internet of Things) devices, such as network-enabled wearables, are carried by
increasingly more people throughout daily life. Information from multiple devices can be …
increasingly more people throughout daily life. Information from multiple devices can be …
[PDF][PDF] Student's health exercise recognition tool for E-learning education
Due to the recently increased requirements of e-learning systems, multiple educational
institutes such as kindergarten have transformed their learning towards virtual education …
institutes such as kindergarten have transformed their learning towards virtual education …
Free-weight exercise activity recognition using deep residual neural network based on sensor data from in-ear wearable devices
S Mekruksavanich… - 2023 46th International …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a popular study area in the current era of the Internet of
Things and artificial intelligence. HAR approaches have been successfully applied in many …
Things and artificial intelligence. HAR approaches have been successfully applied in many …
W8-Scope: Fine-grained, practical monitoring of weight stack-based exercises
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 …
exercise routines and also provide corrective feedback. We propose W8-Scope, a system …
Hyper-personalizing Common Norms through Principled Bespoke Generation
In our everyday lives, we often follow standardized norms based on the “standard person”.
However, these existing norms, created by averaging data from large populations, often fail …
However, these existing norms, created by averaging data from large populations, often fail …