DocumentCode :
2348214
Title :
Activity recognition and step detection with smartphones: Towards terminal based indoor positioning system
Author :
Schindhelm, Corina Kim
Author_Institution :
Siemens AG - Corp. Res. & Technol., Munich, Germany
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
2454
Lastpage :
2459
Abstract :
For years now, many indoor positioning techniques have been researched and some approaches have even been developed into consumer products. Solutions range from using existing WiFi structures to higher accuracy proprietary solutions, e.g. products using UWB (Ultra Wide Band). When public institutions such as libraries or shopping malls offer applications for users (e.g. shop finders), a problem of user privacy can arise. That is, depending on the type of positioning topology implemented, the user and his habits might become traceable. Since modern devices are increasingly equipped with better sensors, they could be used for independent terminal based positioning systems based on step detection. Hence, we decided to explore the capabilities of using the sensors of the HTC hero smartphone for detection of steps and of the movement/activity type. We implemented and examined three state of the art algorithms for these types of detection. The experimental results of detecting activities, e.g. “walking” and “jogging,” will be presented along with the different influencing factors such as types of shoes and position of the device. For future work we are working on an automatic and autonomous step length calculation system in order to come one step closer to a real terminal based positioning system.
Keywords :
indoor radio; smart phones; wireless LAN; HTC hero smartphone; UWB; Wi-Fi structures; activity recognition; automatic step length calculation system; autonomous step length calculation system; consumer products; libraries; movement-activity type; positioning topology; shopping malls; step detection; terminal based indoor positioning system; ultra wide band; Acceleration; Accelerometers; Accuracy; Legged locomotion; Performance evaluation; Sensors; Standards; activity recognition; evaluation; step detection; terminal based application;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on
Conference_Location :
Sydney, NSW
ISSN :
2166-9570
Print_ISBN :
978-1-4673-2566-0
Electronic_ISBN :
2166-9570
Type :
conf
DOI :
10.1109/PIMRC.2012.6362769
Filename :
6362769
Link To Document :
بازگشت