scholarly journals Toward Elderly Care: A Phase-Difference-of-Arrival Assisted Ultra-Wideband Positioning Method in Smart Home

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 139387-139395
Author(s):  
Yan Zhang ◽  
Linfu Duan
i-com ◽  
2019 ◽  
Vol 18 (3) ◽  
pp. 197-216 ◽  
Author(s):  
Verena Zimmermann ◽  
Paul Gerber ◽  
Karola Marky ◽  
Leon Böck ◽  
Florian Kirchbuchner

AbstractSmart Home technologies have the potential to increase the quality of life, home security and facilitate elderly care. Therefore, they require access to a plethora of data about the users’ homes and private lives. Resulting security and privacy concerns form a relevant barrier to adopting this promising technology. Aiming to support end users’ informed decision-making through addressing the concerns we first conducted semi-structured interviews with 42 potential and little-experienced Smart Home users. Their diverse concerns were clustered into four themes that center around attacks on Smart Home data and devices, the perceived loss of control, the trade-off between functionality and security, and user-centric concerns as compared to concerns on a societal level. Second, we discuss measures to address the four themes from an interdisciplinary perspective. The paper concludes with recommendations for addressing user concerns and for supporting developers in designing user-centered Smart Home technologies.


2021 ◽  
Vol 2078 (1) ◽  
pp. 012070
Author(s):  
Qianrong Zhang ◽  
Yi Li

Abstract Ultra-wideband (UWB) has broad application prospects in the field of indoor localization. In order to make up for the shortcomings of ultra-wideband that is easily affected by the environment, a positioning method based on the fusion of infrared vision and ultra-wideband is proposed. Infrared vision assists locating by identifying artificial landmarks attached to the ceiling. UWB uses an adaptive weight positioning algorithm to improve the positioning accuracy of the edge of the UWB positioning coverage area. Extended Kalman filter (EKF) is used to fuse the real-time location information of the two. Finally, the intelligent mobile vehicle-mounted platform is used to collect infrared images and UWB ranging information in the indoor environment to verify the fusion method. Experimental results show that the fusion positioning method is better than any positioning method, has the advantages of low cost, real-time performance, and robustness, and can achieve centimeter-level positioning accuracy.


Author(s):  
Junhong Zhu ◽  
Kanyuan Shi ◽  
Chengyue Yang ◽  
Yanping Niu ◽  
Yingchun Zeng ◽  
...  

2020 ◽  
Vol 16 (1) ◽  
pp. 17-31 ◽  
Author(s):  
K.S. Gayathri ◽  
K.S. Easwarakumar ◽  
Susan Elias

Assistive health care system is a viable solution for elderly care to offer independent living. Such health care systems are feasible through smart homes, which are intended to enhance the living quality of the occupant. Activities of daily living (ADL) are considered in the design of a smart home and are extended to abnormality detection in the case of health care. Abnormality in occupant behavior is the deviation of ongoing activity with that of the built activity model. Generally, supervised machine learning strategies or knowledge engineering strategies are employed in the process of activity modeling. Supervised machine learning approaches incur overheads in annotating the dataset, while the knowledge modeling approaches incur overhead by being dependent on the domain expert for occupant specific knowledge. The proposed approach on the other hand, employs an unsupervised machine learning strategy to readily extract knowledge from unlabelled data using contextual pattern clustering and subsequently represents it as ontology activity model. Ontology offers enhanced activity recognition through its semantically clear representation and reasoning, it has restriction in handling temporal data. Hence, this article in addition to unsupervised modeling focuses at enabling temporal reasoning within ontology using fuzzy logic. The proposed fuzzy ontology activity recognition (FOAR) framework represents an activity model as a fuzzy temporal ontology. Fuzzy SWRL rules modeled within ontology aid activity recognition and abnormality detection for health care. The experimental results show that the proposed FOAR has better performance in abnormality detection than that of the existing systems.


2012 ◽  
Vol 229-231 ◽  
pp. 1373-1376
Author(s):  
Xiao Dong Tu ◽  
Hao Zhang ◽  
Xue Rong Cui ◽  
Xing Liu

The paper proposes a mono-station TOA/AOA positioning method based on ultra-wideband (UWB) antenna array. The article calculates accurately the signal's angle of arrival (AOA) by measurement of the UWB-pulse amplitude of the reference base-station antenna array received, combined with the antenna beam pattern. With the estimation of the information of arrival time using the skewness and the maximum slope, the location of the label can be found. The ranging error of the localization algorithm can achieve centimeter-level and angle of arrival is less than or equal to 1.0.In the paper, the accuracy of positioning method is not affected, eliminating the high-precision synchronization requirements of the traditional reference base-station and significantly reducing the system requirements of clock accuracy and system complexity.


2014 ◽  
Vol 472 ◽  
pp. 312-315
Author(s):  
Hong Bin Yang ◽  
Qiang Wang

Ref. [ based on the analysis of internal tooth plate in the process of locating method, on the basis of the author thinks that the positioning adjustment of internal tooth plate Angle is not easy to measure in actual processing, the positioning adjustment Angle is not easy to guarantee the positioning, a direct impact on the accuracy of phase difference between tooth plate. If the difference accuracy of inner teeth cannot guarantee, cause vibration and noise, impact of three-ring gear reducer will intensify, temperature increase, reduce the service life, even can't assembly. Through the analysis of the principle of three-ring gear reducer, the paper puts forward the inner tooth plate treatment positioning adjustment Angle is 120°, measurement is simple and convenient location, is advantageous to the guarantee of phase difference accuracy of inner teeth. Using UG NX7.0 platform, with a new positioning method to establish model of inner rack, and then using UG stretch command on the establishment of good internal tooth plate model of cutting out the tooth shape, and motion simulation. The results show that the new Angle of inner gear plate positioning adjustment feasible, and fast and convenient, has important significance to the development of three-ring gear reducer.


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