Introduction to the Special Issue on Activity Recognition for Interaction-Reference-Cited by-同舟云学术

Introduction to the Special Issue on Activity Recognition for Interaction

Published:2015-01-28 Issue:4 Volume:4 Page:1-3
ISSN:2160-6455
Container-title:ACM Transactions on Interactive Intelligent Systems
language:en
Short-container-title:ACM Trans. Interact. Intell. Syst.

Author:

Bulling Andreas¹,Blanke Ulf²,Tan Desney³,Rekimoto Jun⁴,Abowd Gregory⁵

Affiliation:

1. Max Planck Institute for Informatics, Saarbrücken, Germany

2. Swiss Federal Institute of Technology (ETH) Zurich, Zürich, Switzerland

3. Microsoft Research United States, WA, USA and China

4. The University of Tokyo, Japan

5. Georgia Tech, GA, USA

Abstract

This editorial introduction describes the aims and scope of the ACM Transactions on Interactive Intelligent Systems special issue on Activity Recognition for Interaction. It explains why activity recognition is becoming crucial as part of the cycle of interaction between users and computing systems, and it shows how the five articles selected for this special issue reflect this theme.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

Link

https://dl.acm.org/doi/pdf/10.1145/2694858

Cited by 3 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. Human action recognition based on low- and high-level data from wearable inertial sensors;International Journal of Distributed Sensor Networks;2019-12

2. Towards skill recognition using eye-hand coordination in industrial production;Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments;2019-06-05

3. Towards User-Centered Assistance in Smart Environments Based on Device Metadata;2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech);2017-11