Human action recognition in smart living services and applications: context awareness, data availability, personalization, and privacy

G Diraco, G Rescio, A Caroppo, A Manni, A Leone - Sensors, 2023 - mdpi.com
Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …

Challenges and opportunities for machine learning classification of behavior and mental state from images

P Washington, CO Mutlu, A Kline, K Paskov… - arXiv preprint arXiv …, 2022 - arxiv.org
Computer Vision (CV) classifiers which distinguish and detect nonverbal social human
behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the …

Quali-mat: Evaluating the quality of execution in body-weight exercises with a pressure sensitive sports mat

B Zhou, S Suh, VF Rey, CAV Altamirano… - Proceedings of the ACM …, 2022 - dl.acm.org
While sports activity recognition is a well studied subject in mobile, wearable and ubiquitous
computing, work to date mostly focuses on recognition and counting of specific exercise …

Exploring automatic gym workouts recognition locally on wearable resource-constrained devices

S Bian, X Wang, T Polonelli… - 2022 IEEE 13th …, 2022 - ieeexplore.ieee.org
Automatic gym activity recognition on energy-and resource-constrained wearable devices
removes the human-interaction requirement during intense gym sessions-like soft-touch …

Light-weight seated posture guidance system with machine learning and computer vision

R Kapoor, A Jaiswal, F Makedon - Proceedings of the 15th International …, 2022 - dl.acm.org
In today's world, the increased time people spend in front of their computers has been one of
the main causes for neck and back pains. Especially, since the pandemic, it has been quite …

Activa: Innovation in quality of care for nursing homes through activity recognition

AM Lendínez, JLL Ruiz, C Nugent, ME Estévez - IEEE Access, 2023 - ieeexplore.ieee.org
There are an increasing number of elderly people with various pathologies and care needs,
making nursing homes one of the most suitable places for them to live. The demand for …

Automatic recognition and assessment of physical exercises from RGB images

QT Pham, VA Nguyen, TT Nguyen… - 2022 IEEE Ninth …, 2022 - ieeexplore.ieee.org
Physical exercises are important for a healthy life. However, many people do the exercises
without professional assistance, especially when practicing at home during Covid-19 …

Location-Independent Doppler Sensing System for Device-Free Daily Living Activity Recognition

S Misaki, M Yoshida, H Choi, T Matsui… - IEEE …, 2023 - ieeexplore.ieee.org
The recent advancements in sensing technology have opened up the possibilities for
various services that support daily life, such as energy-saving home appliance control. To …

Detecting Cognitive Fatigue in Subjects with Traumatic Brain Injury from FMRI Scans Using Self-Supervised Learning

A Jaiswal, A Ramesh Babu, M Zaki Zadeh… - Proceedings of the 16th …, 2023 - dl.acm.org
Understanding cognitive states from fMRI data have yet to be investigated to its full extent
due to its complex nature. In this work, the problem of understanding cognitive fatigue …

Augmenting Vision-Based Human Pose Estimation with Rotation Matrix

M Vazan, FS Masoumi, R Ou… - arXiv preprint arXiv …, 2023 - arxiv.org
Fitness applications are commonly used to monitor activities within the gym, but they often
fail to automatically track indoor activities inside the gym. This study proposes a model that …