17 citations · 25 across the 7 of their papers we have counts for
7 papers
Towards Egocentric 3D Hand Pose Estimation in Unseen Domains
Wiktor Mucha, Michael Wray, Martin Kampel
We present V-HPOT, a novel approach for improving the cross-domain performance of 3D hand pose estimation from egocentric images across diverse, unseen domains. State-of-the-art me…
REST-HANDS: Rehabilitation with Egocentric Vision Using Smartglasses for Treatment of Hands after Surviving Stroke
Wiktor Mucha, Kentaro Tanaka, Martin Kampel
Stroke represents the third cause of death and disability worldwide, and is recognised as a significant global health problem. A major challenge for stroke survivors is persistent…
SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action Recognition
Wiktor Mucha, Michael Wray, Martin Kampel
Hand pose represents key information for action recognition in the egocentric perspective, where the user is interacting with objects. We propose to improve egocentric 3D hand pose…
TEXT2TASTE: A Versatile Egocentric Vision System for Intelligent Reading Assistance Using Large Language Model
Wiktor Mucha, Florin Cuconasu, Naome A. Etori +2
The ability to read, understand and find important information from written text is a critical skill in our daily lives for our independence, comfort and safety. However, a signifi…
In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition
Wiktor Mucha, Martin Kampel
Action recognition is essential for egocentric video understanding, allowing automatic and continuous monitoring of Activities of Daily Living (ADLs) without user effort. Existing…
Human Action Recognition in Egocentric Perspective Using 2D Object and Hands Pose
Wiktor Mucha, Martin Kampel
Egocentric action recognition is essential for healthcare and assistive technology that relies on egocentric cameras because it allows for the automatic and continuous monitoring o…
State of the Art of Audio- and Video-Based Solutions for AAL
Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius +36
The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) re…