Personalized Physical Activity Monitoring Using Wearable Sensors

Bleser, Gabriele; Steffen, Daniel; Reiss, Attila; Weber, Markus; Hendeby, Gustaf; Fradet, Laetitia

doi:10.1007/978-3-319-16226-3_5

Cited by 22 publications

(23 citation statements)

References 34 publications

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“…By combining position-based tracking such as a global positioning system (GPS), motion tracking using accelerometers and gyroscopes, and physiological tracking via heart rate monitors, which are the most fundamental utilization included in wearable devices, user logs such as distance moved, calories consumed, and average speed can be calculated. Furthermore, the use of physical posture detection sensors can propose the optimum exercise routine after examining whether users are exercising correctly [50]. Wearable technology encourages active and healthy lifestyles, so it can be utilized to monitor physical activities to improve the health and physical strength of those who need exercises such as obese people or those who lack exercise due to work; it can also facilitate clinical intervention [51].…”

Section: Wellness and Healthcarementioning

confidence: 99%

“…In addition, it helps with the management of chronic diseases by exchanging information about patients' health conditions in real time among patients, doctors, and family members. Wearable devices attached to patients play an important role in improving diagnosis and treatment methods by monitoring physiological data such as heart rate, blood pressure, oxygen saturation, respiration rate, body temperature, and electrical skin reaction over a long time [50]. The parameters extracted from these measurements can provide indices for health conditions of patients with significant diagnostic value [50].…”

Section: Wellness and Healthcarementioning

confidence: 99%

“…Wearable devices attached to patients play an important role in improving diagnosis and treatment methods by monitoring physiological data such as heart rate, blood pressure, oxygen saturation, respiration rate, body temperature, and electrical skin reaction over a long time [50]. The parameters extracted from these measurements can provide indices for health conditions of patients with significant diagnostic value [50]. Until comparatively lately, the constant monitoring of physiological parameters was only possible at hospitals, but patient data now can be monitored in real time during normal home life.…”

Section: Wellness and Healthcarementioning

confidence: 99%

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Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life

et al. 2016

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This paper aims to elicit insights about sustainable wearables by investigating recent advancements in wearable technology and their applications. Wearable technology has advanced considerably from a technical perspective, but it has stagnated due to barriers without penetrating wider society despite early positive expectations. This situation is the motivation behind the focus on studies by many research groups in recent years into wearable applications that can provide the best value from a human-oriented perspective. The expectation is that a new means to resolve the issue can be found from a viewpoint of sustainability; this is the main point of this paper. This paper first focuses on the trend of wearable technology like bodily status monitoring, multi-wearable device control, and smart networking between wearable sensors. Second, the development intention of such technology is investigated. Finally, this paper discusses about the applications of current wearable technology from the sustainable perspective, rather than detailed description of the component technologies employed in wearables. In this paper, the definition of sustainable wearables is discussed in the context of improving the quality of individual life, social impact, and social public interest; those wearable applications include the areas of wellness, healthcare, assistance for the visually impaired, disaster relief, and public safety. In the future, wearables will not be simple data trackers or fun accessories but will gain extended objectives and meanings that play a valuable role for individuals and societies. Successful and sustainable wearables will lead to positive changes for both individuals and societies overall.

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Section: Wellness and Healthcarementioning

confidence: 99%

Section: Wellness and Healthcarementioning

confidence: 99%

Section: Wellness and Healthcarementioning

confidence: 99%

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Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life

et al. 2016

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“…In healthcare applications, wearable sensors can be categorised based on the measured entity into subtypes that include biopotential sensors [1,2], optical sensors [3,4], stretch and pressure sensors [5,6], chemical sensors [7,8], and Inertial Measurement Units (IMUs) [9,10,11,12]. Commercialisation of devices using the different subtypes of sensors has been gradually increasing.…”

Section: Introductionmentioning

confidence: 99%

Activity Recognition Using Complex Network Analysis

Jalloul¹,

Porée²,

Viardot³

et al. 2018

IEEE J. Biomed. Health Inform.

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In this paper, we perform complex network analysis on a connectivity dataset retrieved from a monitoring system in order to classify simple daily activities. The monitoring system is composed of a set of wearable sensing modules positioned on the subject's body and the connectivity data consists of the correlation between each pair of modules. A number of network measures are then computed followed by the application of statistical significance and feature selection methods. These methods were implemented for the purpose of reducing the total number of modules in the monitoring system required to provide accurate activity classification. The obtained results show that an overall accuracy of 84.6% for activity classification is achieved, using a Random Forest (RF) classifier, and when considering a monitoring system composed of only two modules positioned at the Neck and Thigh of the subject's body.

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“…in terms of joint angles and body segment positions [4,18]. The latter is required during training in order to monitor and improve exercise technique and avoid injuries [5]. Moreover, body pose estimation can be used for model-based physical activity recognition, as demonstrated in [16,23].…”

Section: Introductionmentioning

confidence: 99%

Body-IMU autocalibration for inertial hip and knee joint tracking

Salehi

Bleser

Reiss

et al. 2015

Proceedings of the 10th EAI International Conference on Body Area Networks

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Sensor to body calibration is a key requirement for capturing accurate body movements in applications based on wearable systems. In this paper, we consider the specific problem of estimating the positions of multiple inertial measurement units (IMUs) relative to the adjacent body joints. To derive an efficient, robust and precise method based on a practical procedure is a crucial as well as challenging task when developing a wearable system with multiple embedded IMUs. In this work, first, we perform a theoretical analysis of an existing position calibration method, showing its limited applicability for the hip and knee joint. Based on this, we propose a method for simultaneously estimating the positions of three IMUs (mounted on pelvis, upper leg, lower leg) relative to these joints. The latter are here considered as an ensemble. Finally, we perform an experimental evaluation based on simulated and real data, showing the improvements of our calibration method as well as lines of future work.

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Personalized Physical Activity Monitoring Using Wearable Sensors

Cited by 22 publications

References 34 publications

Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life

Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life

Activity Recognition Using Complex Network Analysis

Body-IMU autocalibration for inertial hip and knee joint tracking

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