UWB positioning system for elderly persons monitoring

Djaja-Jośko, Vitomir; Kołakowski, Jerzy

doi:10.1109/telfor.2015.7377440

Cited by 14 publications

(7 citation statements)

References 3 publications

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“…Besides, regarding the performance of individual sensors, GPS technology showed great promise in obtaining individual positions. Yet, given GPS accuracy (1–10 m), ultra-wideband (UWB) (accuracy of 10 cm) are better suited to the scale and context of schoolyards [ 54 , 55 , 56 ]. Such accurate positioning systems could be used in identifying contacts between subjects in a more comprehensive range of actions and interactions (e.g., parallel play) than proximity tags which record only face-to-face contacts [ 57 ].…”

Section: Discussionmentioning

confidence: 99%

A Novel Data-driven Approach to Examine Children’s Movements and Social Behaviour in Schoolyard Environments

et al. 2022

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(1) Many children in schoolyards are excluded from social interactions with peers on a daily basis. For these excluded children, schoolyard environments often contain features that hinder, rather than facilitate, their participation. These features may include lack of appropriate play equipment, overcrowded areas, or insufficient supervision. These can generate negative situations, especially for children with special needs—such as attention deficit or autism—which includes 10% of children worldwide. All children need to be able to participate in their social environment in order to engage in social learning and development. For children living with a condition that limits access to social learning, barriers to schoolyard participation can further inhibit this. Given that much physical development also occurs as a result of schoolyard play, excluded children may also be at risk for reduced physical development. (2) However, empirically examining schoolyard environments in order to understand existing obstacles to participation requires huge amounts of detailed, precise information about play behaviour, movement, and social interactions of children in a given environment from different layers around the child (physical, social, and cultural). Recruiting this information has typically been exceedingly difficult and too expensive. In this preliminary study, we present a novel sensor data-driven approach for gathering information on social interactions and apply it, in light of schoolyard affordances and individual effectivities, to examine to what extent the schoolyard environment affects children’s movements and social behaviours. We collected and analysed sensor data from 150 children (aged 5–15 years) at two primary special education schools in the Netherlands using a global positioning system tracker, proximity tags, and Multi-Motion Receivers to measure locations, face-to-face interactions, and activities. Results show strong potential for this data-driven approach to examine the triad of physical, social, and cultural affordances in schoolyards. (3) First, we found strong potential in using our sensor data-driven approach for collecting data from individuals and their interactions with the schoolyard environment. Second, using this approach, we identified and discussed three schoolyard affordances (physical, social, and cultural) in our sample data. Third, we discussed factors that significantly impact children’s movement and social behaviours in schoolyards: schoolyard capacity, social use of space, and individual differences. Better knowledge on the impact of these factors could help identify limitations in existing schoolyard designs and inform school officials, policymakers, supervisory authorities, and designers about current problems and practical solutions. This data-driven approach could play a crucial role in collecting information that will help identify factors involved in children’s effective movements and social behaviour.

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Section: Discussionmentioning

confidence: 99%

A Novel Data-driven Approach to Examine Children’s Movements and Social Behaviour in Schoolyard Environments

et al. 2022

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“…UWB solutions offer more accurate people tracking estimations. The NITICS [40] system allows the coordinates of the patient's position to be obtained in indoor environments, based on the distribution of some encoded beacons, as well as on measuring the TOAs (Times-of-Arrival) between the beacons and the receiver for later multilateration. This proposal achieves an accuracy below one meter.…”

Section: Related Workmentioning

confidence: 99%

Activity Monitoring and Location Sensory System for People With Mild Cognitive Impairments

et al. 2023

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Cognitive impairment diseases are becoming more and more prevalent mainly due to population ageing and the increase in life expectancy. Sensory and monitoring systems may allow people with mild cognitive impairments (MCI) or at early stages of dementia to live at home for longer with more independence and security. This work presents a Wireless Sensor Network (WSN) based on wearables that obtains indoor and outdoor location and step information, reporting them over a LoRaWAN network. Each Wireless Wearable Sensor (WWS) uses a Global Navigation Satellite System module for outdoor positioning, a proposed indoor roomlevel localization system based on infrared sensors, an accelerometer for a step detector algorithm, and a LoRa (Long-Range) radio link to send the measured information with low power consumption achieving a large coverage range. These sensory data are recorded in a database and presented to the medical services and caregivers through a user web application. This can be used to detect anomalous changes in daily patients' routines, as well as to know the user's position in cases where the patient may be disoriented. In addition, alerts are launched in caregivers' smartphones to report about any risky situation, such as the patient leaving an allowed area or staying in one place for too long. Therefore, the proposed sensory system may support and extend the ability of people with MCI or at early stages of dementia to live independently, it helps detect behavioural changes and it keeps caregivers' peace of mind.

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“…More studies on tracking mobile objects/people with UWB can be found in the scientific literature. In [ 13 ], time difference of arrival (TDoA) schemes are used to localize elderly people wearing an UWB tag in environments such as hospitals. Although the authors proved that this technology can localize people with an error of less than 1 m, they did not study the impact of different activities on the system accuracy.…”

Section: Related Workmentioning

confidence: 99%

Experimental Evaluation of UWB Indoor Positioning for Sport Postures

Ridolfi

Vandermeeren

Defraye

et al. 2018

Sensors

100

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Radio frequency (RF)-based indoor positioning systems (IPSs) use wireless technologies (including Wi-Fi, Zigbee, Bluetooth, and ultra-wide band (UWB)) to estimate the location of persons in areas where no Global Positioning System (GPS) reception is available, for example in indoor stadiums or sports halls. Of the above-mentioned forms of radio frequency (RF) technology, UWB is considered one of the most accurate approaches because it can provide positioning estimates with centimeter-level accuracy. However, it is not yet known whether UWB can also offer such accurate position estimates during strenuous dynamic activities in which moves are characterized by fast changes in direction and velocity. To answer this question, this paper investigates the capabilities of UWB indoor localization systems for tracking athletes during their complex (and most of the time unpredictable) movements. To this end, we analyze the impact of on-body tag placement locations and human movement patterns on localization accuracy and communication reliability. Moreover, two localization algorithms (particle filter and Kalman filter) with different optimizations (bias removal, non-line-of-sight (NLoS) detection, and path determination) are implemented. It is shown that although the optimal choice of optimization depends on the type of movement patterns, some of the improvements can reduce the localization error by up to 31%. Overall, depending on the selected optimization and on-body tag placement, our algorithms show good results in terms of positioning accuracy, with average errors in position estimates of 20 cm. This makes UWB a suitable approach for tracking dynamic athletic activities.

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UWB positioning system for elderly persons monitoring

Cited by 14 publications

References 3 publications

A Novel Data-driven Approach to Examine Children’s Movements and Social Behaviour in Schoolyard Environments

A Novel Data-driven Approach to Examine Children’s Movements and Social Behaviour in Schoolyard Environments

Activity Monitoring and Location Sensory System for People With Mild Cognitive Impairments

Experimental Evaluation of UWB Indoor Positioning for Sport Postures

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