In personal navigation, pedestrian dead reckoning (PDR) systems based on low-cost self-contained sensors exploit the kinematics of human walking, and are well suited for indoor use and in urban canyons where GPS signals are degraded or not available. Considering the electromyography (EMG), which measures electrical potentials generated by muscle contractions from human body, would reflect the muscle activities during human locomotion, this kind of biomedical signal can be utilized to capture human walking characteristics in PDR. The work presented in this paper is the consecutive step of our pilot studies in further developing a novel and robust PDR solution using wearable EMG sensors to measure walking steps. Our PDR solution includes the EMG-based activity classification, step occurrence detection, and step length estimation, as well as the position calculation with the heading from a two-axis digital compass. To avoid step misdetection, two kinds of activities: walking normally and standing still, are classified via the hidden Markov model classifier fed by the sample entropy features extracted from the raw EMG data. Some EMG statistical parameters are also investigated to establish the optimized step length model. To validate the feasibility and effectiveness of this method, several field tests were conducted by a male tester in two experimental sessions, to demonstrate the effectiveness and practicability of the method using EMG to measure walking steps. Furthermore, the results indicate the performance of the PDR solution is comparable to that of the GPS under open-sky environments.
{"title":"A novel pedestrian dead reckoning algorithm using wearable EMG sensors to measure walking strides","authors":"Qian Wang, Xu Zhang, Xiang Chen, Ruizhi Chen, Wei Chen, Yuwei Chen","doi":"10.1109/UPINLBS.2010.5653821","DOIUrl":"https://doi.org/10.1109/UPINLBS.2010.5653821","url":null,"abstract":"In personal navigation, pedestrian dead reckoning (PDR) systems based on low-cost self-contained sensors exploit the kinematics of human walking, and are well suited for indoor use and in urban canyons where GPS signals are degraded or not available. Considering the electromyography (EMG), which measures electrical potentials generated by muscle contractions from human body, would reflect the muscle activities during human locomotion, this kind of biomedical signal can be utilized to capture human walking characteristics in PDR. The work presented in this paper is the consecutive step of our pilot studies in further developing a novel and robust PDR solution using wearable EMG sensors to measure walking steps. Our PDR solution includes the EMG-based activity classification, step occurrence detection, and step length estimation, as well as the position calculation with the heading from a two-axis digital compass. To avoid step misdetection, two kinds of activities: walking normally and standing still, are classified via the hidden Markov model classifier fed by the sample entropy features extracted from the raw EMG data. Some EMG statistical parameters are also investigated to establish the optimized step length model. To validate the feasibility and effectiveness of this method, several field tests were conducted by a male tester in two experimental sessions, to demonstrate the effectiveness and practicability of the method using EMG to measure walking steps. Furthermore, the results indicate the performance of the PDR solution is comparable to that of the GPS under open-sky environments.","PeriodicalId":373653,"journal":{"name":"2010 Ubiquitous Positioning Indoor Navigation and Location Based Service","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123018391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-12-03DOI: 10.1109/UPINLBS.2010.5654023
A. Pourabdollah, Xiaolin Meng, M. Jackson
In the lack of an infrastructure-independent solution for an integrated indoor/outdoor positioning, this paper studies the challenges to realize a public and low-cost solution, based on mass users of multiple-sensor mobile phones. Having multiple location sensors in the mobile phones with different levels of accuracy, having many users in the environment which can share their absolute or relative localizations, in addition to the ability of the phones to access external data sources may lead to an integrated algorithms which are called collaborative positioning. The stakeholders of the solution (mobile phones sensors, users, fixed stations and external databases) are involved in an iterative algorithm to estimate or improve the accuracy of each node's position based on statistical models. This paper also provides scenarios and initial solution to the problem of collaborative mobile phone positioning based on signal strength measurement. “Position broadcasting” and “Peer-to-peer correction” has been suggested as possible design approaches.
{"title":"Towards low-cost collaborative mobile positioning","authors":"A. Pourabdollah, Xiaolin Meng, M. Jackson","doi":"10.1109/UPINLBS.2010.5654023","DOIUrl":"https://doi.org/10.1109/UPINLBS.2010.5654023","url":null,"abstract":"In the lack of an infrastructure-independent solution for an integrated indoor/outdoor positioning, this paper studies the challenges to realize a public and low-cost solution, based on mass users of multiple-sensor mobile phones. Having multiple location sensors in the mobile phones with different levels of accuracy, having many users in the environment which can share their absolute or relative localizations, in addition to the ability of the phones to access external data sources may lead to an integrated algorithms which are called collaborative positioning. The stakeholders of the solution (mobile phones sensors, users, fixed stations and external databases) are involved in an iterative algorithm to estimate or improve the accuracy of each node's position based on statistical models. This paper also provides scenarios and initial solution to the problem of collaborative mobile phone positioning based on signal strength measurement. “Position broadcasting” and “Peer-to-peer correction” has been suggested as possible design approaches.","PeriodicalId":373653,"journal":{"name":"2010 Ubiquitous Positioning Indoor Navigation and Location Based Service","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131210137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-12-03DOI: 10.1109/UPINLBS.2010.5654305
N. Petrovska
The increasing popularity of GPS (Global Positioning System) device has boosted many applications, especially those for GPS information visualization. Information visualization techniques are invaluable tools in numerous applications. The goal of this work is to provide visual access to GPS information through the proposed trip planning web application. The main focus is on visualization, organization, fast retrieval, and effective understanding of GPS data mainly for public use, and the simplest way to plan the journey through the city. The main objective is to introduce this internet-based application to the users of the public transport services. The GPS technology is a new technology in Macedonia and trip planning is not implemented yet, although it has been used in many countries remarkably within the last years. Combining the collected GPS and timetable data in order to bring passengers to a desired location, the goal of journey planner is to reduce travel related risks and uncertainties for passengers who want to travel to an unknown part of the city, or tourists, elderly people or people who usually do not use public transport service.
{"title":"Software for journey-planning with public transport in Skopje","authors":"N. Petrovska","doi":"10.1109/UPINLBS.2010.5654305","DOIUrl":"https://doi.org/10.1109/UPINLBS.2010.5654305","url":null,"abstract":"The increasing popularity of GPS (Global Positioning System) device has boosted many applications, especially those for GPS information visualization. Information visualization techniques are invaluable tools in numerous applications. The goal of this work is to provide visual access to GPS information through the proposed trip planning web application. The main focus is on visualization, organization, fast retrieval, and effective understanding of GPS data mainly for public use, and the simplest way to plan the journey through the city. The main objective is to introduce this internet-based application to the users of the public transport services. The GPS technology is a new technology in Macedonia and trip planning is not implemented yet, although it has been used in many countries remarkably within the last years. Combining the collected GPS and timetable data in order to bring passengers to a desired location, the goal of journey planner is to reduce travel related risks and uncertainties for passengers who want to travel to an unknown part of the city, or tourists, elderly people or people who usually do not use public transport service.","PeriodicalId":373653,"journal":{"name":"2010 Ubiquitous Positioning Indoor Navigation and Location Based Service","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116809383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-10-01DOI: 10.1109/UPINLBS.2010.5653981
M. Werner, Moritz Kessel
Indoor Navigation is becoming a more and more important topic. It is a key tool for the integration of disabled people into environments which they are not familiar with. With this paper we want to address the problem of indoor navigation being much more complex than outdoor navigation with a thorough modelling of queries which a indoor navigation GIS database shall be able to answer quickly and present an organisation of indoor navigation data tailored to scalable and flexible indoor navigation.
{"title":"Organisation of Indoor Navigation data from a data query perspective","authors":"M. Werner, Moritz Kessel","doi":"10.1109/UPINLBS.2010.5653981","DOIUrl":"https://doi.org/10.1109/UPINLBS.2010.5653981","url":null,"abstract":"Indoor Navigation is becoming a more and more important topic. It is a key tool for the integration of disabled people into environments which they are not familiar with. With this paper we want to address the problem of indoor navigation being much more complex than outdoor navigation with a thorough modelling of queries which a indoor navigation GIS database shall be able to answer quickly and present an organisation of indoor navigation data tailored to scalable and flexible indoor navigation.","PeriodicalId":373653,"journal":{"name":"2010 Ubiquitous Positioning Indoor Navigation and Location Based Service","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121871161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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