Towards Sub-Meter Level UWB Indoor Localization Using Body Wearable Sensors
نویسندگان
چکیده
منابع مشابه
Analysis of Indoor Rowing Motion using Wearable Inertial Sensors
In this exploratory work the motion of rowers is analyzed while rowing on a rowing machine. This is performed using inertial sensors that measure the orientation at several positions on the body. Using these measurements, this work provides a preliminary analysis of the differences between experienced and novice rowers, or between a good and a bad technique. The analysis shows that the measured...
متن کاملPolyPoint: High-Precision Indoor Localization with UWB
We demonstrate PolyPoint, a high-fidelity RF-based indoor localization system that achieves 28 cm accuracy indoors and tracks a fast-moving quadcopter with only 56 cm average error. PolyPoint uses ultra-wideband signals to achieve high precision RF time-of-flight estimates between nodes. To further improve accuracy, PolyPoint exploits two forms of diversity: frequency diversity, which leverages...
متن کاملToward Cooperative Localization of Wearable Sensors using Accelerometer and Camera
This work describes a new approach for localizing people by cooperative sensor fusion of lightweight camera and wearable accelerometer measurements. We present the algorithm to identify people moving around as they are detected by cameras deployed in the infrastructure. The algorithm uses an appropriate correlation metric that is then used to develop an ID matching algorithm that can associate ...
متن کاملTowards Recognizing Tai Chi – An Initial Experiment Using Wearable Sensors
Inexpensive wearable sensors are well-suited for the automatic recognition of many activities occuring in everyday life. But what about fast and involved movements such as those occuring in athletic sports? We tackle this question by studying the feasibility of using bodyworn gyroscopes and acceleration sensors to recognize Tai Chi movements. To this end, we conducted an initial experiment with...
متن کاملAnalysis of Indoor Robot Localization Using Ultrasonic Sensors
This paper analyzes the Monte Carlo localization (MCL) method, which estimates the pose of an indoor mobile robot. A mobile robot must know where it is to navigate in an indoor environment. The MCL technique is one of the most influential and popular techniques for estimation of robot position and orientation using a particle filter. For the analysis, we perform experiments in an indoor environ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3027669