Towards Enhanced Human Activity Recognition through Natural Language Generation and Pose Estimation

N Kashyap, MS Bedmutha, P Chaudhary… - arXiv preprint arXiv …, 2023 - arxiv.org
Vision-based human activity recognition (HAR) has made substantial progress in
recognizing predefined gestures but lacks adaptability for emerging activities. This paper …

HARE: Unifying the Human Activity Recognition Engineering Workflow

O Konak, R Van De Water, V Döring, T Fiedler, L Liebe… - Sensors, 2023 - mdpi.com
Sensor-based human activity recognition is becoming ever more prevalent. The increasing
importance of distinguishing human movements, particularly in healthcare, coincides with …

WIFIACT: Enhancing Human Sensing Through Environment Robust Preprocessing And Bayesian Self-Supervised Learning

N Lyons, A Santra, VK Ramanna, K Uln… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Wi-Fi Sensing is emerging as a transformative paradigm in the realm of smart environments,
enabling the ubiquitous detection of human presence and the identification of activities …

Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)

M Thukral, SG Dhekane, SK Hiremath… - arXiv preprint arXiv …, 2024 - arxiv.org
Human activity recognition (HAR) using ambient sensors in smart homes has numerous
applications for human healthcare and wellness. However, building general-purpose HAR …

Mobile and wearable sensing frameworks for mHealth studies and applications: A systematic review

D Kumar, S Jeuris, JE Bardram, N Dragoni - ACM Transactions on …, 2020 - dl.acm.org
With the widespread use of smartphones and wearable health sensors, a plethora of mobile
health (mHealth) applications to track well-being, run human behavioral studies, and clinical …

Component-based model for on-device pre-processing in mobile phone sensing campaigns

IR Félix, LA Castro, LF Rodríguez, EC Ruíz - Ubiquitous Computing and …, 2016 - Springer
In mobile sensing, modern phones allow researchers obtain the information about the
participants and their surroundings in a precise, unobtrusive, unbiased, and timely way …

Device-free WiFi human sensing: From pattern-based to model-based approaches

D Wu, D Zhang, C Xu, H Wang… - IEEE Communications …, 2017 - ieeexplore.ieee.org
Recently, device-free WiFi CSI-based human behavior recognition has attracted a great
amount of interest as it promises to provide a ubiquitous sensing solution by using the …

Human-centred artificial intelligence for mobile health sensing: challenges and opportunities

T Dang, D Spathis, A Ghosh… - Royal Society Open …, 2023 - royalsocietypublishing.org
Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …

Human activity and transportation mode recognition using smartphone sensors

G Mantellos, TP Exarhos… - 2020 5th South-East …, 2020 - ieeexplore.ieee.org
During the day we use various means of transportation without perceiving the impact of our
choices to the environment. Our aim is to create a mobile application to raise environmental …

Non-contact multimodal indoor human monitoring systems: A survey

LN Nguyen, P Susarla, A Mukherjee… - arXiv preprint arXiv …, 2023 - arxiv.org
Indoor human monitoring systems leverage a wide range of sensors, including cameras,
radio devices, and inertial measurement units, to collect extensive data from users and the …