The development of human activity monitoring has allowed the creation of multiple applications, among them is the recognition of high falls risk activities of older people for the mitigation of falls occurrences. In this study, we apply a graphical model based classification technique(conditional random field) to evaluate various sliding window based techniques for the real time prediction of a...

The Albayzin 2008 Language Recognition Evaluation was held from May to October 2008, and their results presented and discussed among the participating teams at the 5th Biennial Workshop on Speech Technology [1], organized by the Spanish Network on Speech Technologies [2] in November 2008. In this paper, we present (for the first time) a full description of the Albayzin 2008 LRE and analyze and ...

This paper examines the use of system identification to describe time-varying phenomena in a smoking cessation intervention. The analysis is facilitated by the availability of intensive longitudinal data that enables the application of system identification techniques. Two model structures are considered; one involves the concept of statistical mediation, while the other describes a feedback me...

Significant progress has been made in the field of human language technologies. Various tasks like continuous speech recognition for large vocabulary, speaker and language identification, spoken information inquiry, information extraction and cross-language retrieval in restricted domains are today feasible and different prototypes and systems are running. The spoken translation problem on the ...

This paper describes a wearable annotation overlay system using augmented reality (AR) techniques. To realize AR systems, the position and orientation of user’s viewpoint should be obtained in real time. The proposed system measures the orientation of user’s viewpoint by an inertial sensor and the user’s position using positioning infrastructures in environments and a pedometer. The system spec...

Wearable devices, or “wearables,” bring great benefits but also potential information disclosure risks that could expose users’ activities without their awareness or consent. We surveyed 1,782 Internet users about various data associated with the capabilities of popular wearable devices on the market to identify the data disclosure scenarios that users find most concerning. Our study relatively...

The presence of children in a social assistive robotics context is particularly challenging for perception, mainly, in the task of locating them using inherently uncertain sensor data. This paper proposes a method for active perception with the goal of finding one target, e.g., a child wearing a RFID tag. This method is based on a particle-filter modeling a probability distribution of the posit...

This paper presents a numerical modeling technique for dynamically modeling a human hand. We use a strand-based method of modeling the muscles. Our technique represents a compromise between capturing the full dynamics of the tissue mechanics and the need for computationally efficient representations for control design and multiple simulations appropriate for statistical planning tools of the ha...