Processing Physiological Sensor Data in Near Real-Time as Social Signals for Their Use on Social Virtual Reality Platforms-Reference-Cited by-同舟云学术

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Processing Physiological Sensor Data in Near Real-Time as Social Signals for Their Use on Social Virtual Reality Platforms

Published:2022 Issue: Volume: Page:44-62
ISSN:0302-9743
Container-title:Extended Reality
language:
Short-container-title:

Author:

Genz Fabio^ORCID,Hufeld Clemens^ORCID,Kranzlmüller Dieter^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-15553-6_4

Reference90 articles.

1. Acampora, G., Cook, D.J., Rashidi, P., Vasilakos, A.V.: A survey on ambient intelligence in healthcare. Proc. IEEE 101(12), 2470–2494 (2013)

2. Albahri, A.S., et al.: Iot-based telemedicine for disease prevention and health promotion: state-of-the-art. J. Netw. Comput. Appl. 173, 102873 (2021)

3. Amazon: Kinesis streams (2013). https://aws.amazon.com/de/kinesis/. (Accessed 21 Feb 2022)

4. Apache-Software-Foundation: Acitvemq (2007). https://github.com/apache/activemq. (Accessed 03 Mar 2022)

5. Apache-Software-Foundation: Camel (2007). https://github.com/apache/camel. (Accessed 22 Feb 2022)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals;IEEE Access;2023

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