Unsupervised Indoor Localization with Motion Detection

2015 ◽  
pp. 132-143 ◽  
Author(s):  
Yaqian Xu ◽  
Linglong Meng ◽  
Klaus David
Keyword(s):  
Motion Detection ◽  
Indoor Localization

scholarly journals Optical Camera Communication Performance Evaluation: Review

2020 ◽  
pp. 42-49
Keyword(s):  
Motion Detection ◽  
Intelligent Transportation Systems ◽  
High Speed ◽  
Indoor Localization ◽  
Image Sensor ◽  
Transportation Systems ◽  
Transport Systems ◽  
Communication Performance ◽  
Signal Processing Methods ◽  
Optical Camera Communication

Recently, optical wireless communication (OWC) technologies focused on a camera or an image sensor receiver have drawn specific attention in areas like the internet, indoor localization, motion detection, and intelligent transportation systems. Besides, panorama sensors are the subject of communications from picture sensors as receptors as the high-speed OWC strategy do not need any change to the existing network, so the difficulty and expense of deployment are very limited. So in this paper, a detailed review of the techniques of optical camera communication (OCC)has been presented. In addition to their function of localizing, tracking and recording motion. Through addressing several facets of OCC and their different implementations, this study varies from the latest literature on this topic. The first section of the current article is on standardization, Path classification, modulation, scripting, synchronization, and signal processing methods for OCC networks whereas the second section of the research discusses OCC-based localization, navigation, motion detection, and smart transport systems literature .Finally , OCC's problems and potential work directions have been addressed in the final section of the research.

Cooking Motion Detection by Using Kinect

2016 ◽  
Vol 136 (12) ◽  
pp. 1759-1760
Author(s):  
Masao Izumi ◽  
Kenji Hashimoto
Keyword(s):  
Motion Detection

Design of a Bell-Shaped Ultra Wideband Antenna for Indoor Localization System

2015 ◽  
Vol 5 (6) ◽  
pp. 323 ◽  
Author(s):  
Nadia Ghariani ◽  
Mohamed Salah Karoui ◽  
Mondher Chaoui ◽  
Mongi Lahiani ◽  
Hamadi Ghariani
Keyword(s):  
Indoor Localization ◽  
Ultra Wideband ◽  
Localization System ◽  
Wideband Antenna

IoT-TD: IoT Dataset for Multiple Model BLE-based Indoor Localization/Tracking

2021 ◽  
Author(s):  
Mohammad Salimibeni ◽  
Zohreh Hajiakhondi-Meybodi ◽  
Parvin Malekzadeh ◽  
Mohammadamin Atashi ◽  
Konstantinos N. Plataniotis ◽  
...  
Keyword(s):  
Indoor Localization ◽  
Multiple Model

Physical Activity Behavior of Skilled Nursing Facility Patients: A 21-day Longitudinal Cohort Study (Preprint)

2020 ◽  
Author(s):  
Wenhao Zhang ◽  
Ramin Ramezani ◽  
Zhuoer Xie ◽  
John Shen ◽  
David Elashoff ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Intensity ◽  
Indoor Localization ◽  
Pearson Correlation ◽  
Patent Application ◽  
Skilled Nursing Facility ◽  
Nursing Facility ◽  
Skilled Nursing ◽  
Longitudinal Changes ◽  
Therapy Room

BACKGROUND The availability of low cost ubiquitous wearable sensors has enabled researchers, in recent years, to collect a large volume of data in various domains including healthcare. The goal has been to harness wearables to further investigate human activity, physiology and functional patterns. As such, on-body sensors have been primarily used in healthcare domain to help predict adverse outcomes such as hospitalizations or fall, thereby enabling clinicians to develop better intervention guidelines and personalized models of care to prevent harmful outcomes. In the previous studies [9,10] and the patent application [11], we introduced a generic framework (Sensing At-Risk Population) that draws on the classification of human movements using a 3-axial accelerometer and extraction of indoor localization using BLE beacons, in concert. This work is to address the longitudinal analyses of a particular cohort using the introduced framework in a skilled nursing facility. OBJECTIVE (a) To observe longitudinal changes of physical activity and indoor localization features of rehabilitation-dwelling patients, (b) to assess if such changes can be used at early stages during the rehabilitation period to discriminate between patients that will be re-hospitalized versus the ones that will be discharged to a community setting and (c) to investigate if the sensor based longitudinal changes can imitate patients changes captured by therapist assessments over the course of rehabilitation. METHODS Pearson correlation was used to compare occupational therapy (OT) and physical therapy (PT) assessments with sensor-based features. Generalized Linear Mixed Model was used to find associations between functional measures with sensor based features. RESULTS Energy intensity at therapy room was positively associated with transfer general (β=0.22;SE=0.08;p<.05). Similarly, sitting energy intensity showed positive association with transfer general (β=0.16;SE=0.07;p<.05). Laying down energy intensity was negatively associated with hygiene grooming (β=-0.27;SE=0.14;p<.05). The interaction of sitting energy intensity with time (β=-0.13;SE=.06;p<.05) was associated with toileting general. Dressing lower body was strongly correlated with overall energy intensity (r = 0.66), standing energy intensity (r = 0.61), and laying down energy intensity (r = 0.72) on the first clinical assessment session. CONCLUSIONS This study demonstrates that a combination of indoor localization and physical activity tracking produces a series of features, a subset of which can provide crucial information on the storyline of daily and longitudinal activity patterns of rehabilitation-dwelling patients.

scholarly journals The Technology of Crowd-Sourcing Landmarks-Assisted Smartphone in Indoor Localization

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 57036-57048 ◽  
Author(s):  
Xinxin Wang ◽  
Danyang Qin ◽  
Ruolin Guo ◽  
Min Zhao ◽  
Lin Ma ◽  
...  
Keyword(s):  
Indoor Localization ◽  
Crowd Sourcing
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