Large language models are zero-shot recognizers for activities of daily living

G Civitarese, M Fiori, P Choudhary, C Bettini - arxiv preprint arxiv …, 2024 - arxiv.org
The sensor-based recognition of Activities of Daily Living (ADLs) in smart home
environments enables several applications in the areas of energy management, safety, well …

[HTML][HTML] SDHAR-HOME: A sensor dataset for human activity recognition at home

RG Ramos, JD Domingo, E Zalama… - Sensors, 2022 - mdpi.com
Nowadays, one of the most important objectives in health research is the improvement of the
living conditions and well-being of the elderly, especially those who live alone. These …

[HTML][HTML] Multi-subject human activities: A survey of recognition and evaluation methods based on a formal framework

L Arrotta, G Civitarese, X Chen, J Cumin… - Expert Systems with …, 2024 - Elsevier
Abstract Human Activity Recognition (HAR) in smart environments is a well-explored
research domain, given its diverse applications which include healthcare, surveillance …

A survey on multi-resident activity recognition in smart environments

FMP Shiri, T Perumal, N Mustapha, R Mohamed… - arxiv preprint arxiv …, 2023 - arxiv.org
Human activity recognition (HAR) is a rapidly growing field that utilizes smart devices,
sensors, and algorithms to automatically classify and identify the actions of individuals within …

A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition

A Kamboj, M Do - arxiv preprint arxiv:2403.15444, 2024 - arxiv.org
Despite living in a multi-sensory world, most AI models are limited to textual and visual
understanding of human motion and behavior. In fact, full situational awareness of human …

Improvement in Multi-resident Activity Recognition System in a Smart Home Using Activity Clustering

E Ramanujam, S Kalimuthu, BV Harshavardhan… - … International Internet of …, 2023 - Springer
Abstract Human Activity Recognition (HAR) integrates ambient assisted living (AAL), leading
to smart home automation for monitoring activities, healthcare, fall detection, etc. Various …

MICAR: multi-inhabitant context-aware activity recognition in home environments

L Arrotta, C Bettini, G Civitarese - Distributed and Parallel Databases, 2023 - Springer
The sensor-based recognition of Activities of Daily Living (ADLs) in smart-home
environments enables several important applications, including the continuous monitoring of …

An intelligent edge-deployable indoor air quality monitoring and activity recognition approach

MRA Berkani, A Chouchane, Y Himeur… - 2023 6th …, 2023 - ieeexplore.ieee.org
The surveillance of indoor air quality is paramount for ensuring environmental safety, a task
made increasingly viable due to advancements in technology and the application of artificial …

Explaining Human Activities Instances Using Deep Learning Classifiers

L Arrotta, G Civitarese, M Fiori… - 2022 IEEE 9th …, 2022 - ieeexplore.ieee.org
The recognition of human activities in sensorized smart-home environments enables a wide
variety of healthcare applications, including the detection of early symptoms of cognitive …