Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Maria Gorlatova"'
Publikováno v:
IEEE Internet of Things Journal. 9:17714-17727
Publikováno v:
The 22nd International Conference on Information Processing in Sensor Networks.
Publikováno v:
The 22nd International Conference on Information Processing in Sensor Networks.
Publikováno v:
IEEE Internet of Things Journal. 9:7545-7558
Kinetic energy harvesting technologies have been progressively used to power wearable devices and to sense the context through energy generation patterns. However, detecting human activities with signals from kinetic harvesters still needs improvemen
Autor:
Sangjun Eom, Seijung Kim, Yihang Jiang, Ryan Jay Chen, Ali R. Roghanizad, M. Zachary Rosenthal, Jessilyn Dunn, Maria Gorlatova
Publikováno v:
2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
Publikováno v:
Proceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems.
Autor:
Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen
Publikováno v:
Proceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems.
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).
Autor:
Wenjun Hu, Maria Gorlatova, Jose Manjarres, Guohao Lan, Zida Liu, David R. Smith, Andrew S. Lan, Mohammadreza F. Imani
Publikováno v:
IEEE Internet of Things Journal. 8:14110-14126
Conventional radio-frequency (RF) sensing systems rely on either frequency diversity or spatial diversity to ensure high sensing accuracy. Such reliance introduces several practical limitations that hinder the pervasive deployment of existing solutio