All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments including social networks …
have created various computer-mediated virtual environments including social networks …
When creators meet the metaverse: A survey on computational arts
The metaverse, enormous virtual-physical cyberspace, has brought unprecedented
opportunities for artists to blend every corner of our physical surroundings with digital …
opportunities for artists to blend every corner of our physical surroundings with digital …
The realm of metaverse: A survey
JP Venugopal, AAV Subramanian… - … Animation and Virtual …, 2023 - Wiley Online Library
The next step of digital development is the metaverse, which has the potential to drastically
alter how people use technology and expand the range of services available beyond …
alter how people use technology and expand the range of services available beyond …
ViT-LLMR: Vision Transformer-based lower limb motion recognition from fusion signals of MMG and IMU
H Zhang, K Yang, G Cao, C Xia - Biomedical Signal Processing and Control, 2023 - Elsevier
One of the key problems in lower limb-based human–computer interaction (HCI) technology
is to use wearable devices to recognize the wearer's lower limb motions. The information …
is to use wearable devices to recognize the wearer's lower limb motions. The information …
Exploring system performance of continual learning for mobile and embedded sensing applications
Continual learning approaches help deep neural network models adapt and learn
incrementally by trying to solve catastrophic forgetting. However, whether these existing …
incrementally by trying to solve catastrophic forgetting. However, whether these existing …
Yono: Modeling multiple heterogeneous neural networks on microcontrollers
Internet of Things (IoT) systems provide large amounts of data on all aspects of human
behavior. Machine learning techniques, especially deep neural networks (DNN), have …
behavior. Machine learning techniques, especially deep neural networks (DNN), have …
From seen to unseen: Designing keyboard-less interfaces for text entry on the constrained screen real estate of Augmented Reality headsets
Text input is a very challenging task in the constrained screen real-estate of Augmented
Reality headsets. Typical keyboards spread over multiple lines and occupy a significant …
Reality headsets. Typical keyboards spread over multiple lines and occupy a significant …
Emerging exg-based nui inputs in extended realities: A bottom-up survey
Incremental and quantitative improvements of two-way interactions with ex tended realities
(XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient …
(XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient …
Myokey: Inertial motion sensing and gesture-based qwerty keyboard for extended realities
Usability challenges and social acceptance of textual input in a context of extended realities
(XR) motivate the research of novel input modalities. We investigate the fusion of inertial …
(XR) motivate the research of novel input modalities. We investigate the fusion of inertial …
Typing on Any Surface: A Deep Learning-based Method for Real-Time Keystroke Detection in Augmented Reality
X Fu, M Xi - arXiv preprint arXiv:2309.00174, 2023 - arxiv.org
Frustrating text entry interface has been a major obstacle in participating in social activities
in augmented reality (AR). Popular options, such as mid-air keyboard interface, wireless …
in augmented reality (AR). Popular options, such as mid-air keyboard interface, wireless …