Special issue on device-free sensing for human behavior recognition
Published in Personal and Ubiquitous Computing
Published in Personal and Ubiquitous Computing
Published in Personal and Ubiquitous Computing
We investigate the predictability of the next unlock event on smartphones, using machine learning and smartphone contextual data. In a 2-week field study with 27 participants, we demonstrate that it is possible to predict when the next unlock event will occur. Additionally, we show how our approach can improve accuracy and energy efficiency by sole...
Published in Personal and Ubiquitous Computing
Frequently, people with dementia exhibit abnormal behaviors that may cause self-injury or burden their caregivers. Some audible manifestations of these problematic behaviors are of vocal nature (e.g., shouting, mumbling, or cursing), others are environmental sounds (e.g., tapping or slamming). The timely detection of these behaviors could enact non...
Published in Personal and Ubiquitous Computing
As a nonverbal body language, gestures undoubtedly can play a very significant role when interacting with smart devices. One of the most discrete ways of gesture recognition is through the use of Wi-Fi signals. Recent literatures start to explore the feasibility of utilizing the widely deployed Wi-Fi infrastructure to track human motions and intera...
Published in Personal and Ubiquitous Computing
In today’s dynamic environment, an appropriate performance evaluation method for industries is a complex problem considering its funding scale. Performance evaluation in present industries has become a key part of the strategic approach. Existing performance evaluation approaches are based on manual estimations. These are prone to bias and nepotism...
Published in Personal and Ubiquitous Computing
In the era of Industry 4.0, human plays an important role in the design, installation, updating, and maintenance of the intelligent manufacturing system. To facilitate natural and convenient interactions between humans and machines, we need to develop advanced human-machine interaction technologies. In this paper, we propose a novel gesture recogni...
Published in Personal and Ubiquitous Computing
This paper presents the analysis of 292 personal stories of digital media breakdown in everyday life. The analysis identifies significant occurrences (events, incidents, processes or issues) as identified by informants themselves; the way these occurrences are pragmatically negotiated; and the perceived outcomes in terms of cognitive, affective and...
Published in Personal and Ubiquitous Computing
Cooperative play begins in preschool and teaches preschoolers to be more tolerant, focused, and respectful of others. However, preschoolers find difficult to learn how to work together. Nowadays, there are cooperative interactive surfaces for children that focus on improving their creativity and socialization skills. However, there have been few st...
Published in Personal and Ubiquitous Computing
Locating places in cities is typically facilitated by handheld mobile devices, which draw the visual attention of the user on the screen of the device instead of the surroundings. In this research, we aim at strengthening the connection between people and their surroundings through enabling mid-air gestural interaction with real-world landmarks and...
Published in Personal and Ubiquitous Computing