A semantics-based approach to sensor data segmentation in real-time Activity Recognition-Reference-Cited by-同舟云学术

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A semantics-based approach to sensor data segmentation in real-time Activity Recognition

Published:2019-04 Issue: Volume:93 Page:224-236
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Triboan Darpan,Chen Liming,Chen Feng^ORCID,Wang Zumin

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference48 articles.

1. SOnAr: Smart Ontology Activity recognition framework to fulfill Semantic Web in smart homes Samaneh;Zolfaghari,2016

2. Monitoring Activities of Daily Living in Smart Homes;Debes;IEEE Signal Process. Mag.,2016

3. Ambient intelligence based context-aware assistive system to improve independence for people with autism spectrum disorder;Tang,2016

4. The ”Age” of Opportunity;Banks;IEEE Pulse,2017

5. ERAR: An event-driven approach for real-time activity recognition;Ye,2015

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1. Simple to Complex, Single to Concurrent Sensor-Based Human Activity Recognition: Perception and Open Challenges;IEEE Access;2024

2. Enhancing Kitchen Activity Recognition: A Benchmark Study of the Rostock KTA Dataset;IEEE Access;2024

3. A Survey of Motion Data Processing and Classification Techniques Based on Wearable Sensors;IgMin Research;2023-12-04

4. Generating Markov Logic Networks Rulebase Based on Probabilistic Latent Semantics Analysis;Tsinghua Science and Technology;2023-10

5. Human Activity Recognition (HAR) Using Deep Learning: Review, Methodologies, Progress and Future Research Directions;Archives of Computational Methods in Engineering;2023-08-12

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