Simon Janzon

@inproceedings{nokey,

title = {Human-Aware Navigation in Crowded Environments Using Adaptive Proxemic Area and Group Detection},

author = {Carlos Medina-Sánchez and Simon Janzon and Matteo Zella and Jesús Capitán and Pedro José Marrón},

doi = {10.1109/IROS55552.2023.10342385},

isbn = {978-1-6654-9191-4},

year  = {2023},

date = {2023-10-01},

urldate = {2023-10-01},

booktitle = {2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},

pages = {6741-6748},

publisher = {IEEE},

abstract = {Navigation is an essential task for social robots. However, certain rules must be followed to allow them to move without causing distraction or discomfort to people. Considering that the context surrounding robots and persons affects the expected behavior, this work defines a social area around a person that adapts to the real situation. In addition, the social context of a person is extended to identify groups of people, which the robot should take into account while navigating. With this understanding of the surrounding of the robot together with the ability to predict the trajectory of individuals as well as groups, the proposed solution not only effectively addresses collision avoidance while promoting socially acceptable behavior but also outperforms the majority of recent works in terms of accuracy. Furthermore, a dedicated policy is introduced to react to social navigation conflicts. The evaluation performed in a simulated environment shows that the computation of our proposed solution is at least 8 times faster than the best state-of-the-art approach while preserving comparable social conduct. Also, the results of realistic experiments performed using Gazebo and a real robot are reported.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Single-Sign-On in Smart Homes using Continuous Authentication},

author = {Jonathan Liebers and Nick Wittig and Simon Janzon and Pedram Golkar and Hakeem Moruf and Wilfried Forentin Wakeu Kontchipo and Uwe Gruenefeld and Stefan Schneegass},

doi = {10.1145/3568444.3570595},

year  = {2022},

date = {2022-12-29},

booktitle = {MUM '22: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia},

pages = {270–272},

abstract = {Modern ubiquitous computing environments are increasingly populated with smart devices that need to know the identity of users interacting with them. At the same time, the number of authentications that a user needs to perform increases, as nowadays devices such as smart TVs require authentication which was not the case in earlier times. Even for single-person households, the need to authenticate against present smart devices in the environment appears at regular intervals, ranging from TVs to voice assistants, to gaming consoles. To reduce the need for repeated authentication, we explore the concept of a system that allows the sharing of users’ authenticated identity information between smart devices, similar to the concept of Single-Sign-On on the internet. Following a preliminary field study, we show that such a system can decrease the number of necessary authentications in a ubiquitous computing environment by 84.4%, increasing usability and security.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokeyc,

title = {Wisdom of the IoT Crowd: Envisioning a Smart Home-based Nutritional Intake Monitoring System},

author = {Sarah Faltaous and Simon Janzon and Roman Heger and Marvin Strauss and Pedram Golkar and Matteo Viefhaus and Marvin Prochazka and Uwe Gruenefeld and Stefan Schneegaß},

doi = {10.1145/3473856.3474009},

year  = {2021},

date = {2021-09-13},

urldate = {2021-09-13},

booktitle = {MuC '21: Proceedings of Mensch und Computer 2021},

pages = {568–573},

abstract = {Obesity and overweight are two factors linked to various health problems that lead to death in the long run. Technological advancements have granted the chance to create smart interventions. These interventions could be operated by the Internet of Things (IoT) that connects different smart home and wearable devices, providing a large pool of data. In this work, we use IoT with different technologies to present an exemplary nutrition monitoring intake system. This system integrates the input from various devices to understand the users’ behavior better and provide recommendations accordingly. Furthermore, we report on a preliminary evaluation through semi-structured interviews with six participants. Their feedback highlights the system’s opportunities and challenges.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9287913,

title = {Person Re-Identification in Human Following Scenarios: An Experience with RGB-D Cameras},

author = {Simon Janzon and Carlos Medina-Sánchez and Matteo Zella and Pedro José Marrón},

doi = {10.1109/IRC.2020.00076},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 Fourth IEEE International Conference on Robotic Computing (IRC)},

pages = {424-425},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}