3D ActionSLAM: Wearable person tracking in multi-floor environments

Personal and Ubiquitous Computing

Volumn 19, Issue 1, 2015, Pages 123-141

  Hardegger, Michael ^a   Roggen, Daniel ^b   Tröster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

Indoor tracking; Locationaware computing; Pedestrian dead reckoning; Simultaneous localization and mapping; Wearable systems

Indexed keywords

DATA VISUALIZATION; FLOORS; INDOOR POSITIONING SYSTEMS; LOCATION; MAPPING; NAVIGATION; THREE DIMENSIONAL COMPUTER GRAPHICS; UNITS OF MEASUREMENT;

INDOOR TRACKING; LOCATION-AWARE COMPUTING; PEDESTRIAN DEAD RECKONINGS; SIMULTANEOUS LOCALIZATION AND MAPPING; WEARABLE SYSTEMS;

WEARABLE TECHNOLOGY;

EID: 84971228594     PISSN: 16174909     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00779-014-0815-y     Document Type: Article

References (53)

1. Alzantot M, Youssef M (2012) CrowdInside: automatic construction of indoor floorplans. In: Proceedings of the 20th international conference on advances in geographic information systems. ACM, New York, USA, pp 99-108
2. Angermann M, Robertson P (2012) FootSLAM: pedestrian simultaneous localization and mapping without exteroceptive sensors-hitchhiking on human perception and cognition. Proc IEEE 100:1840-1848
3. Ayers D, Shah M (2001) Monitoring human behavior from video taken in an office environment. Image Vis Comput 19(12):833-846
4. Boric-Lubeke O, Lubecke V (2002) Wireless house calls: using communications technology for health care and monitoring. Microw Mag IEEE 3(3):43-48
5. Brajdic A, Harle R (2013) Walk detection and step counting on unconstrained smartphones. In: Proceedings of the 2013 ACM international joint conference on pervasive and ubiquitous computing. ACM, New York, pp 225-234
6. Brandt JW, Algazi VR (1992) Continuous skeleton computation by voronoi diagram. CVGIP Image Underst 55(3):329-338
7. Brasche S, Bischof W (2005) Daily time spent indoors in german homes-baseline data for the assessment of indoor exposure of german occupants. Int J Hyg Environ Health 208(4):247-253
8. Dissanayake MWMG, Newman P, Clark S, Durrant-Whyte H, Csorba M (2001) A solution to the simultaneous localization and map building (slam) problem. IEEE Trans Robot Autom 17(3): 229-241
9. Douc R, Cappé O (2005) Comparison of resampling schemes for particle filtering. In: Proceedings of the 4th international symposium on image and signal processing and analysis, pp 64-69
10. D’Souza M, Ros M, Karunanithi M (2012) An indoor localisation and motion monitoring system to determine behavioural activity in dementia afflicted patients in aged care. Electr J Health Inf. http://ro.uow.edu.au/hbspapers/3108/
11. Durrant-Whyte H, Bailey T (2006) Simultaneous localization and mapping: part I. IEEE Robot Autom Mag 13(2):99-110
12. Eagle N, Pentland A (2006) Reality mining: sensing complex social systems. Pers Ubiquitous Comput 10(4):255-268
13. Eisa S, Moreira A (2012) Requirements and metrics for location and tracking for ambient assisted living. In: 2012 international conference on indoor positioning and indoor navigation (IPIN), pp 1-7
14. Elnahrawy E, Li X, Martin RP (2004) The limits of localization using signal strength: a comparative study. In: 2004 First Annual IEEE communications society conference on sensor and ad hoc communications and networks, 2004. IEEE SECON 2004. pp 406-414
15. Faragher RM, Sarno C, Newman M (2012) Opportunistic radio slam for indoor navigation using smartphone sensors. In: Position location and navigation symposium (PLANS), 2012 IEEE/ION, pp 120-128
16. Feese S, Arnrich B, Troster G, Burtscher M, Meyer B, Jonas K (2013) Coenofire: monitoring performance indicators of firefighters in real-world missions using smartphones. In: Proceedings of the 2013 ACM international joint conference on pervasive and ubiquitous computing, ACM, pp 83-92
17. Ferris B, Fox D, Lawrence ND (2007) Wifi-slam using gaussian process latent variable models. In: IJCAI, vol 7, pp 2480-2485
18. Fischer C, Talkad Sukumar P, Hazas M (2012) Tutorial: implementation of a pedestrian tracker using foot-mounted inertial sensors. In: IEEE pervasive computing, pp 1-19
19. Fox D (2003) Adapting the sample size in particle filters through KLD-sampling. Int J Robot Res 22(12):985-1003
20. Foxlin E (2005) Pedestrian tracking with shoe-mounted inertial sensors. In: IEEE Computer Graphics and Applications, pp 38-46
21. Grzonka S, Karwath A, Dijoux F, Burgard W (2012) Activitybased estimation of human trajectories. IEEE Trans Robot 28(1):234-245
22. Hardegger M, Mazilu S, Caraci D, Hess F, Roggen D, Tröster G (2013) ActionSLAM on a smartphone: at-home tracking with a fully wearable system. In: 2013 International conference on indoor positioning and indoor navigation (IPIN), pp 99-106
23. Hardegger M, Roggen D, Mazilu S, Tröster G (2012) Action-SLAM: using location-related actions as landmarks in pedestrian SLAM. In: 2012 international conference on indoor positioning and indoor navigation (IPIN)
24. Hardegger M, Tröster G, Roggen D (2013) Improved Action-SLAM for long-term indoor tracking with wearable motion sensors. In: Proceedings of the 17th annual international symposium on International symposium on wearable computers, ACM, pp 1-8
25. Harle R (2013) A survey of indoor inertial positioning systems for pedestrians. IEEE Commun Surv Tutor 15(3):1281-1293
26. Harms H, Amft O, Winkler R, Schumm J, Kusserow M, Tröster G (2010) Ethos: miniature orientation sensor for wearable human motion analysis. In: 2010 IEEE sensors, pp 1037-1042
27. Jimenez A, Seco F, Prieto C, Guevara J (2009) A comparison of pedestrian dead-reckoning algorithms using a low-cost MEMS IMU. In: IEEE international symposium on intelligent signal processing, pp 37-42
28. Jimenez Ruiz AR, Seco Granja F, Prieto Honorato JC, Guevara Rosas JI (2012) Accurate pedestrian indoor navigation by tightly coupling foot-mounted imu and rfid measurements. IEEE Trans Instrum Meas 61(1):178-189
29. Leech JA, Nelson WC, Burnett RT, Aaron S, Raizenne ME (2002) It’s about time: a comparison of canadian and american time-activity patterns. J Expo Anal Environ Epidemiol 12(6): 427-432
30. Liao L, Patterson DJ, Fox D, Kautz H (2007) Learning and inferring transportation routines. Artif Intell 171(5):311-331
31. Liu H, Darabi H, Banerjee P, Liu J (2007) Survey of wireless indoor positioning techniques and systems. IEEE Trans Syst Man Cybern Part C Appl Rev 37(6):1067-1080
32. Maciejewski R, Rudolph S, Hafen R, Abusalah A, Yakout M, Ouzzani M, Cleveland WS, Grannis SJ, Ebert DS (2010) A visual analytics approach to understanding spatiotemporal hotspots. IEEE Trans Vis Comput Graph 16(2):205-220
33. Mazilu S, Hardegger M, Zhu Z, Roggen D, Tröster G, Plotnik M, Hausdorff J (2012) Online detection of freezing of gait with smartphones and machine learning techniques. In: Proceedings of the 6th international conference on pervasive computing technologies for healthcare, vol 3, pp 123-130
34. Mirowski P, Ho TK, Yi S, MacDonald M (2013) Signalslam: simultaneous localization and mapping with mixed wifi, bluetooth, LTE and magnetic signals. In: 2013 international conference on indoor positioning and indoor navigation (IPIN), pp 357-366
35. Montemerlo M, Thrun S, Koller D, Wegbreit B (2002) Fastslam: a factored solution to the simultaneous localization and mapping problem. In: Proceedings of the national conference on artificial intelligence, pp 593-598
36. Munoz Diaz E, Heirich O, Khider M, Robertson P (2013) Optimal sampling frequency and bias error modeling for footmounted imus. In: 2013 international conference on indoor positioning and indoor navigation (IPIN), pp 245-253
37. Nilsson JO, Skog I, Handel P, Hari K (2012) Foot-mounted ins for everybody-an open-source embedded implementation. In: Position location and navigation symposium (PLANS), 2012 IEEE/ION, pp 140-145
38. Park K, Shin H, Cha H (2013) Smartphone-based pedestrian tracking in indoor corridor environments. Pers Ubiquitous Comput 17(2):359-370
39. Pradeep V, Medioni G, Weiland J (2010) Robot vision for the visually impaired. 2010 IEEE computer society conference on computer vision and pattern recognition-workshops, pp 15-22
40. Prateek G, Girisha R, Hari K, Handel P (2013) Data fusion of dual foot-mounted ins to reduce the systematic heading drift. In: 2013 4th international conference on intelligent systems modelling simulation (ISMS), pp 208-213
41. Priyantha NB, Chakraborty A, Balakrishnan H (2000) The cricket location-support system. In: Proceedings of the 6th annual international conference on mobile computing and networking, ACM, pp 32-43
42. Puyol MG, Frassl M, Robertson P (2012) Collaborative mapping for pedestrian navigation in security applications. In: Future security, Springer, Berlin, pp 49-60
43. Qian J, Ma J, Ying R, Liu P (2013) Rpnos: Reliable pedestrian navigation on a smartphone. In: Geo-informatics in resource management and sustainable ecosystem, Springer, Berlin, pp 188-199
44. Robertson P, Angermann M, Khider M (2010) Improving simultaneous localization and mapping for pedestrian navigation and automatic mapping of buildings by using online human-based feature labeling. In: Position location and navigation symposium (PLANS), 2010 IEEE/ION, pp 365-374
45. Robertson P, Frassl M, Angermann M, Doniec M, Julian BJ, Garcia Puyol M, Khider M, Lichtenstern M, Bruno L (2013) Simultaneous localization and mapping for pedestrians using distortions of the local magnetic field intensity in large indoor environments. In: 2013 international conference on indoor positioning and indoor navigation (IPIN), pp 925-934
46. Romanovas M, Goridko V, Al-Jawad A, Schwaab M, Traechtler M, Klingbeil L, Manoli Y (2012) A study on indoor pedestrian localization algorithms with foot-mounted sensors. In: 2012 international conference on indoor positioning and indoor navigation (IPIN), pp 1-10
47. Scott J, Bernheim Brush A, Krumm J, Meyers B, Hazas M, Hodges S, Villar N (2011) Preheat: controlling home heating using occupancy prediction. In: Proceedings of the 13th international conference on ubiquitous computing, ACM, pp 281-290
48. Shin H, Chon Y, Cha H (2012) Unsupervised construction of an indoor floor plan using a smartphone. IEEE Trans Syst Man Cybern Part C Appl Rev 42(6):889-898
49. Sposaro F, Tyson G (2009) iFall: an android application for fall monitoring and response. In: Annual international conference of the IEEE engineering in medicine and biology society, pp 6119-6122
50. Steinhoff U, Schiele B (2010) Dead reckoning from the pocket-an experimental study. In: 2010 IEEE international conference on pervasive computing and communications (PerCom), pp 162-170
51. Woodman O, Harle R (2008) Pedestrian localisation for indoor environments. In: Proceedings of the 10th international conference on Ubiquitous computing, ACM, pp 114-123
52. Woodman OJ (2007) An introduction to inertial navigation. Technical report, Cambridge University Press, Cambridge
53. Zhu C, Sheng W (2011) Motion- and location-based online human daily activity recognition. Pervasive Mobile Comput 7(2):256-269