Reimagining application user interface (UI) design using deep learning methods: Challenges and opportunities

S Malik, MT Saeed, MJ Zia, S Rasool, LA Khan… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we present a review of the recent work in deep learning methods for user
interface design. The survey encompasses well known deep learning techniques (deep …

ParaGlassMenu: Towards Social-Friendly Subtle Interactions in Conversations

R Cai, NNPK Janaka, S Zhao, M Sun - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Interactions with digital devices during social settings can reduce social engagement and
interrupt conversations. To overcome these drawbacks, we designed ParaGlassMenu, a …

Multimodal wearable intelligence for dementia care in healthcare 4.0: A survey

P Yang, G Bi, J Qi, X Wang, Y Yang, L Xu - Information Systems Frontiers, 2021 - Springer
As a new revolution of Ubiquitous Computing and Internet of Things, multimodal wearable
intelligence technique is rapidly becoming a new research topic in both academic and …

Robust unsupervised factory activity recognition with body-worn accelerometer using temporal structure of multiple sensor data motifs

Q Xia, J Korpela, Y Namioka, T Maekawa - Proceedings of the ACM on …, 2020 - dl.acm.org
This paper presents a robust unsupervised method for recognizing factory work using
sensor data from body-worn acceleration sensors. In line-production systems, each factory …

EdgeOS_H: a home operating system for internet of everything

J Cao, L Xu, R Abdallah, W Shi - 2017 IEEE 37th international …, 2017 - ieeexplore.ieee.org
The proliferation of Internet of Everything (IoE) and the success of rich Cloud services have
pushed the horizon of a new computing paradigm, Edge Computing, which calls for …

Snaplink: Fast and accurate vision-based appliance control in large commercial buildings

K Chen, J Fürst, J Kolb, HS Kim, X Jin… - Proceedings of the …, 2018 - dl.acm.org
As the number and heterogeneity of appliances in smart buildings increases, identifying and
controlling them becomes challenging. Existing methods face various challenges when …

Estimating the physical distance between two locations with Wi-Fi received signal strength information using obstacle-aware approach

T Nakatani, T Maekawa, M Shirakawa… - Proceedings of the ACM …, 2018 - dl.acm.org
This study presents a new method for estimating the physical distance between two
locations using Wi-Fi signals from APs observed by Wi-Fi signal receivers such as …

Design space and users' preferences for smartglasses graphical menus: A vignette study

RD Vatavu, J Vanderdonckt - … of the 19th International Conference on …, 2020 - dl.acm.org
We address in this work visual menus for smartglasses by proposing a wide range of design
options, such as shape, location, orientation, and presentation modalities, which we compile …

BLEselect: Gestural IoT Device Selection via Bluetooth Angle of Arrival Estimation from Smart Glasses

T Zhang, Z Lan, C Xu, Y Li, Y Chen - … of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Spontaneous selection of IoT devices from the head-mounted device is key for user-
centered pervasive interaction. BLEselect enables users to select an unmodified Bluetooth …

QuickTalk: An association-free communication method for IoT devices in proximity

S Ham, J Lee, K Lee - Proceedings of the ACM on Interactive, Mobile …, 2017 - dl.acm.org
IoT devices are in general considered to be straightforward to use. However, we find that
there are a number of situations where the usability becomes poor. The situations include …