Nokia

About: Nokia is a company organization based out in Espoo, Finland. It is known for research contribution in the topics: Signal & Mobile station. The organization has 16625 authors who have published 28347 publications receiving 695725 citations. The organization is also known as: Nokia Oyj & Oy Nokia Ab.

System and method for initiating location-dependent applications on mobile devices

Abstract: A system, apparatus, and method for facilitating location-based triggering of actions, applications, services, and the like on wireless devices, for locations that may be subsequently visited by the mobile device user. Wireless service area identifiers (116, 118, 120, 124, 128) are received at the wireless device (102, 704, 1002), where selected ones can be stored (306) as points of interest on the wireless device (102, 704, 1002). Actions are correlated (308) with the stored points of interest, where this correlation is also stored (510) on the wireless device (102, 704, 1002). An action associated with a particular stored point of interest is invoked (406, 10 612, 822) when the wireless device (102, 704, 1002) enters a wireless service area (110, 112, 114) corresponding to the particular stored point of interest.

Implementation of charging in a telecommunications system

Abstract: The invention concerns a method for the implementation of charging in a telecommunications system including customer terminals used by customers for ordering services and servers for providing services to customers. In order to implement the charging of services easily especially in a multimedia environment, at least one separate billing server is used in the network so that each customer terminal has a dedicated billing server. A contract message is sent to the customer terminal stating that the customer must make a contact on the selected service, and the customer's acceptance of the contact is sent from the customer terminal to the billing server in the network. The billing servers of the network are used for transferring charging records to the billing system so that the transfer of the charging record(s) concerning the selected service involves at least one billing server.

Predicting text entry speed on mobile phones

Abstract: We present a model for predicting expert text entry rates for several input methods on a 12-key mobile phone keypad. The model includes a movement component based on Fitts' law and a linguistic component based on digraph, or letter-pair, probabilities. Predictions are provided for one-handed thumb and two-handed index finger input. For the traditional multi-press method or the lesser-used two-key method, predicted expert rates vary from about 21 to 27 words per minute (wpm). The relatively new T9 method works with a disambiguating algorithm and inputs each character with a single key press. Predicted expert rates vary from 41 wpm for one-handed thumb input to 46 wpm for two-handed index finger input. These figures are degraded somewhat depending on the user's strategy in coping with less-than-perfect disambiguation. Analyses of these strategies are presented.

Opportunities and Challenges for Data Physicalization

Abstract: Physical representations of data have existed for thousands of years. Yet it is now that advances in digital fabrication, actuated tangible interfaces, and shape-changing displays are spurring an emerging area of research that we call Data Physicalization. It aims to help people explore, understand, and communicate data using computer-supported physical data representations. We call these representations physicalizations, analogously to visualizations -- their purely visual counterpart. In this article, we go beyond the focused research questions addressed so far by delineating the research area, synthesizing its open challenges and laying out a research agenda.

Analysis of the meter of acoustic musical signals

Abstract: A method is described which analyzes the basic pattern of beats in a piece of music, the musical meter. The analysis is performed jointly at three different time scales: at the temporally atomic tatum pulse level, at the tactus pulse level which corresponds to the tempo of a piece, and at the musical measure level. Acoustic signals from arbitrary musical genres are considered. For the initial time-frequency analysis, a new technique is proposed which measures the degree of musical accent as a function of time at four different frequency ranges. This is followed by a bank of comb filter resonators which extracts features for estimating the periods and phases of the three pulses. The features are processed by a probabilistic model which represents primitive musical knowledge and uses the low-level observations to perform joint estimation of the tatum, tactus, and measure pulses. The model takes into account the temporal dependencies between successive estimates and enables both causal and noncausal analysis. The method is validated using a manually annotated database of 474 music signals from various genres. The method works robustly for different types of music and improves over two state-of-the-art reference methods in simulations.