most citedState of the Art of Audio- and Video-Based Solutions for AAL

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

Enhancing Video Transformers for Action Understanding with VLM-aided Training

Hui Lu, Hu Jian, Ronald Poppe +1

Owing to their ability to extract relevant spatio-temporal video embeddings, Vision Transformers (ViTs) are currently the best performing models in video action understanding. Howe…

cs.CV20241 cited

TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions

Hui Lu, Albert Ali Salah, Ronald Poppe

A key challenge in continuous sign language recognition (CSLR) is to efficiently capture long-range spatial interactions over time from the video input. To address this challenge,…

cs.HC2024

Wrist movement classification for adaptive mobile phone based rehabilitation of children with motor skill impairments

Kayleigh Schoorl, Tamara Pinos Cisneros, Albert Ali Salah +1

Rehabilitation exercises performed by children with cerebral palsy are tedious and repetitive. To make them more engaging, we propose to use an exergame approach, where an adaptive…

cs.CV20222 cited

Video-based estimation of pain indicators in dogs

Hongyi Zhu, Yasemin Salgırlı, Pınar Can +2

Dog owners are typically capable of recognizing behavioral cues that reveal subjective states of their dogs, such as pain. But automatic recognition of the pain state is very chall…

cs.CY20226 cited

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…