Zobrazeno 1 - 10
of 273
pro vyhledávání: '"Julien, Christine"'
Everyday devices like light bulbs and kitchen appliances are now embedded with so many features and automated behaviors that they have become complicated to actually use. While such "smart" capabilities can better support users' goals, the task of le
Externí odkaz:
http://arxiv.org/abs/2405.03821
Understanding the complexity of human activities solely through an individual's data can be challenging. However, in many situations, surrounding individuals are likely performing similar activities, while existing human activity recognition approach
Externí odkaz:
http://arxiv.org/abs/2306.06078
Smart home assistants function best when user commands are direct and well-specified (e.g., "turn on the kitchen light"), or when a hard-coded routine specifies the response. In more natural communication, however, human speech is unconstrained, ofte
Externí odkaz:
http://arxiv.org/abs/2305.09802
Autor:
Yu, Haoxiang, Chen, Hsiao-Yuan, Lee, Sangsu, Vishwanath, Sriram, Zheng, Xi, Julien, Christine
With the rising emergence of decentralized and opportunistic approaches to machine learning, end devices are increasingly tasked with training deep learning models on-devices using crowd-sourced data that they collect themselves. These approaches are
Externí odkaz:
http://arxiv.org/abs/2304.05354
The right response to someone who says "get ready for a party" is deeply influenced by meaning and context. For a smart home assistant (e.g., Google Home), the ideal response might be to survey the available devices in the home and change their state
Externí odkaz:
http://arxiv.org/abs/2303.14143
Autor:
Weyns, Danny, Gerostathopoulos, Ilias, Buhnova, Barbora, Cardozo, Nicolas, Cioroaica, Emilia, Dusparic, Ivana, Grunske, Lars, Jamshidi, Pooyan, Julien, Christine, Michael, Judith, Moreno, Gabriel, Nejati, Shiva, Pelliccione, Patrizio, Quin, Federico, Rodrigues, Genaina, Schmerl, Bradley, Vieira, Marco, Vogel, Thomas, Wohlrab, Rebekka
Artifacts support evaluating new research results and help comparing them with the state of the art in a field of interest. Over the past years, several artifacts have been introduced to support research in the field of self-adaptive systems. While t
Externí odkaz:
http://arxiv.org/abs/2206.12492
Publikováno v:
SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra Portugal, November 15 - 17, 2021
With the rapid development and usage of Internet-of-Things (IoT) and smart-home devices, researchers continue efforts to improve the "smartness" of those devices to address daily needs in people's lives. Such efforts usually begin with understanding
Externí odkaz:
http://arxiv.org/abs/2110.00068
Autor:
Herrera, Juan Luis, Berrocal, Javier, Garcia-Alonso, Jose, Murillo, Juan Manuel, Chen, Hsiao-Yuan, Julien, Christine, Mäkitalo, Niko, Mikkonen, Tommi
We live in an era in which the most valued services are not paid for in money, but in personal data. Every day, service providers collect the personal information of billions of individuals, information that sustain their infrastructure by marketing
Externí odkaz:
http://arxiv.org/abs/2103.17109
Pervasive computing applications commonly involve user's personal smartphones collecting data to influence application behavior. Applications are often backed by models that learn from the user's experiences to provide personalized and responsive beh
Externí odkaz:
http://arxiv.org/abs/2103.13266
Autor:
Wu, Congyu, Fritz, Hagen, Nagy, Zoltan, Maestre, Juan P., Thomaz, Edison, Julien, Christine, Castelli, Darla M., de Barbaro, Kaya, Harari, Gabriella M., Craddock, R. Cameron, Kinney, Kerry A., Gosling, Samuel D., Schnyer, David M.
As mobile technologies become ever more sensor-rich, portable, and ubiquitous, data captured by smart devices are lending rich insights into users' daily lives with unprecedented comprehensiveness, unobtrusiveness, and ecological validity. A number o
Externí odkaz:
http://arxiv.org/abs/2010.08457