The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The design of an offline algorithm for smartphone based indoor localization is outlined, discussed and evaluated. The algorithm performs dead reckoning using accelerometer-, compass- and gyroscope data. Accelerometer data is used to detect step events. Compass and gyroscope are used for heading estimation. Drift compensation and step length estimation is performed by a particle filter using map information...
In the field of indoor navigation, inertial measurement units (IMUs) are commonly used to track pedestrians. Unfortunately, in conjunction with dead reckoning localization approaches, the position accuracy is degraded by the accumulation of sensor errors. Most pedestrian dead reckoning systems are therefore adapted to human gait patterns to constraint this error growth. These interventions however...
This paper demonstrates a novel approach for motion classification and analysis using pressure sensors worn by a person. The pressure signal is analysed to search for features corresponding to the motion states, and matched against typical human walking pattern. A prototype system is developed which provides motion classification results in real-time. The motion classification results consists of...
The aim of this paper is to compare two inertial navigation systems in order to identify their strengths and weaknesses as well as to propose new fusion algorithms for these systems. The goal of the fusion is to combine the best of both navigation systems in order to obtain an improved position estimation of the pedestrian. To that extent, the comparison starts with an analysis of the sensor parameters...
In this paper a low cost solution for implementing an indoor localization system is proposed. The Android app is based on a background service able to log data retrieved from the 9-Degree of Freedom IMU embedded in a smartphone and to compute the current user position. In particular, an Android application is developed: it is able to track the position of a user in indoor environment using smartphones...
Commonly used Global Navigation Satellite Systems (GNSS) are inappropriate as Location Based Services (LBS) in indoor environment. Therefore research teams are developing different systems, which can be used as a suitable alternative. One of options is to use Inertial Navigation System (INS) which consists of inertial sensors and mathematic procedures. This concept has been known for a long time,...
This paper gives an overview on several current indoor georeferencing methods for kinematic multi sensor systems (MSS) and compares them to each other. Key issue is the application of these methods in complex indoor environments like office spaces with many separate rooms and contorted structures. Furthermore, a new universal knowledge-based approach for accurate indoor georeferencing will be introduced...
The rapid growth of ubiquitous applications and location-based services has made indoor navigation an interesting topic. Some indoor localization solutions exploit radio information and Inertial Measurement Units (IMUs), which are embedded in most of the modern smartphones. In this paper, we present a real-time indoor localization approach that fuses WiFi Receiving Signal Strength Indicator (RSSI)...
Indoor localization is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technologies, particularly smartwatches with built-in sensors, and personal devices, such as smartphones, are being seen as the breakthrough for making concrete the envisioned Smart Environment (SE) paradigm. In particular, scenarios devoted to indoor localization...
We investigate properties and the accuracy of grid-based Bayesian filters for indoor localization. We use only the compass and a (hardware or software) step detector which are available in commodity smartphones. In the case when a hardware step detector is not present, we propose a reliable step detection algorithm using the accelerometer. Our main goal is to evaluate how the accuracy of a grid-based...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.