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Large Language Models Are Zero-Shot Recognizers for Activities of Daily Living
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10115-016-0987-zopenalex-snapshot
A survey of methods for time series change point detection
inferredcites →https://doi.org/10.1007/s11065-020-09437-5openalex-snapshot
Behavioral and Psychological Symptoms that Predict Cognitive Decline or Impairment in Cognitively Normal Middle-Aged or Older Adults: a Meta-Analysis
inferredcites →https://doi.org/10.1016/j.future.2020.10.030openalex-snapshot
HealthXAI: Collaborative and explainable AI for supporting early diagnosis of cognitive decline
inferredcites →https://doi.org/10.1016/j.knosys.2020.105816openalex-snapshot
CAVIAR: Context-driven Active and Incremental Activity Recognition
inferredcites →https://doi.org/10.1016/j.neucom.2018.10.104openalex-snapshot
A sequential deep learning application for recognising human activities in smart homes
inferredcites →https://doi.org/10.1016/j.neucom.2020.10.056openalex-snapshot
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks
inferredcites →https://doi.org/10.1016/j.pmcj.2014.09.010openalex-snapshot
Privacy protection in pervasive systems: State of the art and technical challenges
inferredcites →https://doi.org/10.1038/nature08983openalex-snapshot
Neural mechanisms of ageing and cognitive decline
inferredcites →https://doi.org/10.1038/s41591-023-02391-8openalex-snapshot
Digital health for aging populations
inferredcites →https://doi.org/10.1038/s41746-024-01062-3openalex-snapshot
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
inferredcites →https://doi.org/10.1097/jgp.0b013e318162f197openalex-snapshot
Characterization of Activities of Daily Living in Individuals With Mild Cognitive Impairment
inferredcites →https://doi.org/10.1108/17440080911006199openalex-snapshot
Ontology‐based activity recognition in intelligent pervasive environments
inferredcites →https://doi.org/10.1109/access.2021.3053704openalex-snapshot
Unsupervised Domain Adaptation in Activity Recognition: A GAN-Based Approach
inferredcites →https://doi.org/10.1109/csci54926.2021.00294openalex-snapshot
Human Activity Recognition in Smart Home using Deep Learning Models
inferredcites →https://doi.org/10.1109/fmsys62467.2024.00011openalex-snapshot
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
inferredcites →https://doi.org/10.1109/icassp35589.2019openalex-snapshot
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/icra57147.2024.10611090openalex-snapshot
GG-LLM: Geometrically Grounding Large Language Models for Zero-shot Human Activity Forecasting in Human-Aware Task Planning
inferredcites →https://doi.org/10.1109/jbhi.2012.2234129openalex-snapshot
A Survey on Ambient-Assisted Living Tools for Older Adults
inferredcites →https://doi.org/10.1109/jsen.2022.3161797openalex-snapshot
Internet of Things (IoT) Based Activity Recognition Strategies in Smart Homes: A Review
inferredcites →https://doi.org/10.1109/tkde.2019.2930050openalex-snapshot
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes
inferredcites →https://doi.org/10.1145/1409635.1409637openalex-snapshot
Accurate activity recognition in a home setting
inferredcites →https://doi.org/10.1145/1620545openalex-snapshot
Proceedings of the 11th international conference on Ubiquitous computing
inferredcites →https://doi.org/10.1145/3158645openalex-snapshot
Activity Recognition with Evolving Data Streams
inferredcites →https://doi.org/10.1145/3384419openalex-snapshot
Proceedings of the 18th Conference on Embedded Networked Sensor Systems
inferredcites →https://doi.org/10.1145/3447744openalex-snapshot
Deep Learning for Sensor-based Human Activity Recognition
inferredcites →https://doi.org/10.1145/3550294openalex-snapshot
Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch
inferredcites →https://doi.org/10.1145/3550299openalex-snapshot
Assessing the State of Self-Supervised Human Activity Recognition Using Wearables
inferredcites →https://doi.org/10.1145/3594739.3610745openalex-snapshot
Towards LLMs for Sensor Data: Multi-Task Self-Supervised Learning
inferredcites →https://doi.org/10.1145/3678545openalex-snapshot
IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
inferredcites →https://doi.org/10.1145/3696461openalex-snapshot
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data
inferredcites →https://doi.org/10.3233/faia342openalex-snapshot
Neuro-Symbolic Artificial Intelligence: The State of the Art
inferredcites →https://doi.org/10.3389/fnagi.2024.1375131openalex-snapshot
Assessing the cognitive decline of people in the spectrum of AD by monitoring their activities of daily living in an IoT-enabled smart home environment: a cross-sectional pilot study
inferredcites →https://doi.org/10.3390/s130505460openalex-snapshot
Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
inferredcites →https://doi.org/10.48550/arxiv.2001.07416openalex-snapshot
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
inferredcites →https://doi.org/10.48550/arxiv.2005.11401openalex-snapshot
Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems
inferredcites →https://doi.org/10.48550/arxiv.2201.11903openalex-snapshot
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
inferredcites →https://doi.org/10.48550/arxiv.2403.06586openalex-snapshot
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
inferredcites →https://doi.org/10.5287/bodleian:nzvqj2ojwopenalex-snapshot
Capture-24: Activity tracker dataset for human activity recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-13312-0_12openalex-snapshot
Scenario-Controlled Synthetic Data Augmentation: In Application of Agitation Monitoring
inferred← citeshttps://doi.org/10.1007/978-3-032-21628-1_39openalex-snapshot
Large Language Models for Elderly Care in Smart Home Environments: A Systematic Review
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126178openalex-snapshot
Multi-subject human activities: A survey of recognition and evaluation methods based on a formal framework
inferred← citeshttps://doi.org/10.1016/j.iot.2026.101876openalex-snapshot
Creation of AI-driven smart spaces for enhanced indoor environments – A survey
inferred← citeshttps://doi.org/10.1016/j.jbi.2026.105104openalex-snapshot
Graph-augmented LLMs for social media-based clinical trial recruitment
inferred← citeshttps://doi.org/10.1080/01691864.2026.2707053openalex-snapshot
Graph convolutional reinforcement learning for multi-agent coordination in smart home environments: an intelligent framework for elderly care assistance
inferred← citeshttps://doi.org/10.1109/abc64332.2025.11118559openalex-snapshot
Few-Shot Human Activity Recognition Using Lightweight Language Models
inferred← citeshttps://doi.org/10.1109/access.2025.3598088openalex-snapshot
A Review of Wearables-Based Activities of Daily Living Recognition With LLMs: Overview, Progress, and Trends
inferred← citeshttps://doi.org/10.1109/ccnc65079.2026.11366615openalex-snapshot
How Energy is Consumed by LLM-enabled Smart Home Assistant Systems on Low-Cost Devices: An Empirical Study
inferred← citeshttps://doi.org/10.1109/dcoss-iot69657.2026.00035openalex-snapshot
Improving Zero-shot ADL Recognition with Large Language Models through Event-based Context
inferred← citeshttps://doi.org/10.1109/ojcoms.2026.3680064openalex-snapshot
LLMs and IoT: A Comprehensive Survey on Large Language Models and the Internet of Things
inferred← citeshttps://doi.org/10.1109/percomworkshops65533.2025.00142openalex-snapshot
Large Language Models for Human Activity Recognition in Smart-Home
inferred← citeshttps://doi.org/10.1109/percomworkshops65533.2025.00162openalex-snapshot
Exploring Large Language Models in Active Learning for Annotating Physical Sensing Data
inferred← citeshttps://doi.org/10.1109/percomworkshops68308.2026.11585286openalex-snapshot
The SERENADE project: Sensor-Based Explainable Detection of Cognitive Decline
inferred← citeshttps://doi.org/10.1109/tmc.2025.3573168openalex-snapshot
mmZeAR: Zero-Effort Cross-Category Action Recognition With mmWave Radar
inferred← citeshttps://doi.org/10.1145/3717608openalex-snapshot
Transfer Learning in Sensor-Based Human Activity Recognition: A Survey
inferred← citeshttps://doi.org/10.1145/3766900openalex-snapshot
Leveraging Large Language Models for Explainable Activity Recognition in Smart Homes: A Critical Evaluation
inferred← citeshttps://doi.org/10.1145/3772318.3791505openalex-snapshot
Characterizing User-Reported Risks across LLM Chatbots
inferred← citeshttps://doi.org/10.1145/3774906.3802768openalex-snapshot
LLMSEG: Semantic Segmentation and Few-Shot Recognition of Human Activity Recognition Data Using Large Language Models
inferred← citeshttps://doi.org/10.1145/3810230openalex-snapshot
Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook
inferred← citeshttps://doi.org/10.1515/icom-2024-0072openalex-snapshot
ChatAnalysis revisited: can ChatGPT undermine privacy in smart homes with data analysis?
inferred← citeshttps://doi.org/10.3390/app16052502openalex-snapshot
ChatMicroscopy: A Perspective Review of Large Language Models for Next-Generation Optical Microscopy
inferred← citeshttps://doi.org/10.3390/s26185897openalex-snapshot
A Large Language Model-Guided IMU-PDR Method for Detection and Error Correction
inferred← citeshttps://doi.org/10.7717/peerj-cs.3041openalex-snapshot
Automatic generation of explanations in autonomous systems: enhancing human interaction in smart home environments
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