Wearable Weight Estimation System

Hellstrom, Per Anders Rickard; Folke, Mia; Ekström, Mikael

doi:10.1016/j.procs.2015.08.475

Cited by 12 publications

(13 citation statements)

References 14 publications

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“…Footwear is an ideal location for automatic body weight estimation systems since all of the body's weight is placed upon the feet when standing. A few footwear-based systems have been used for body weight estimation as done in [92,93]. The study in [92] reported root-mean squared error of 10.52 kg in estimating body weight of 9 study subjects, while the one in [93] reported an average overestimation error of 16.7 kg in estimating body weight of 10 study subjects.…”

Section: Biofeedbackmentioning

confidence: 99%

“…A few footwear-based systems have been used for body weight estimation as done in [92,93]. The study in [92] reported root-mean squared error of 10.52 kg in estimating body weight of 9 study subjects, while the one in [93] reported an average overestimation error of 16.7 kg in estimating body weight of 10 study subjects. These works validate the approach, but there is a room for improving the accuracy of the footwear-based systems in estimating body weight.…”

Section: Biofeedbackmentioning

confidence: 99%

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A Comparative Review of Footwear-Based Wearable Systems

2016

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Abstract:Footwear is an integral part of daily life. Embedding sensors and electronics in footwear for various different applications started more than two decades ago. This review article summarizes the developments in the field of footwear-based wearable sensors and systems. The electronics, sensing technologies, data transmission, and data processing methodologies of such wearable systems are all principally dependent on the target application. Hence, the article describes key application scenarios utilizing footwear-based systems with critical discussion on their merits. The reviewed application scenarios include gait monitoring, plantar pressure measurement, posture and activity classification, body weight and energy expenditure estimation, biofeedback, navigation, and fall risk applications. In addition, energy harvesting from the footwear is also considered for review. The article also attempts to shed light on some of the most recent developments in the field along with the future work required to advance the field.

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Section: Biofeedbackmentioning

confidence: 99%

Section: Biofeedbackmentioning

confidence: 99%

A Comparative Review of Footwear-Based Wearable Systems

2016

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“…Only a few papers in literature have attempted continuous monitoring of body weight in daily living [18], [19]. Sazonova et al [18] focused on body weight prediction using a footwear-based system for estimation of daily energy expenditure.…”

Section: Body Weightmentioning

confidence: 99%

“…Sazonova et al [18] focused on body weight prediction using a footwear-based system for estimation of daily energy expenditure. Whereas, Hellstrom et al [19] explored carried load estimation during walking using a wearable weightsensing system. Both of these studies used a similar approach of incorporating force sensing resistors on a flexible insole for unobtrusive wearability.…”

Section: Body Weightmentioning

confidence: 99%

Exploring the effect of food intake and physical activity on body weight

Prioleau

Heng

Veeraraghavan

et al. 2017

2017 IEEE EMBS International Conference on Biomedical &Amp; Health Informatics (BHI)

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Body weight is an important measurement parameter towards management of obesity, diabetes and overall health. Previous research and society at large has primarily focused on long-term fluctuation in body weight to describe and quantify weight gain or loss. Meanwhile, little emphasis has been placed on the potential benefit of monitoring shortterm body weight changes. Activities of daily living including food intake, excretion, and physical activities have a direct and measurable impact on short-term body weight in a day. Therefore, understanding the effect of these activities can provide insight towards development of a wearable system capable of detecting and quantifying daily intake, excretion and physical activities. In this study, body weight, intake, and physical activities were monitored intermittently for 7-8 hours on two separate days (sedentary and high activity). Results show that dietary intake always resulted in a positive change in body weight (mean error between measured body weight and amount of intake was ±0.24 kg). Meanwhile, high intensity physical activities (i.e. cardio) and excretion resulted in a negative change in body weight.

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“…Wearable sensors like footwear-based systems [8] can also be used to measure load on a cane, but, as commented, they often need to be calibrated and/or located in specific body parts, requiring an extra effort from the users [4]. Alternatively, the authors have already proposed to add sensors to walk assistive devices like a rollator [9], [10].…”

Section: Introductionmentioning

confidence: 99%

A cane-based low cost sensor to implement attention mechanisms in telecare robots

Ballesteros

Tudela

Caro-Romero

et al. 2019

2019 International Conference on Robotics and Automation (ICRA)

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Telepresence robots have been recently used for Comprehensive Geriatric Assessment (CGA). Since the robot can not track a person continuously, there are several strategies to decide when to check them, from cyclic checks to simple requests from users and/or caregivers. In order to adapt to the user needs and condition, it is preferable to perform CGA as soon as regularities appear. However, this requires detection of potential issues in users to offer immediate service. In this work we propose a new low cost force sensor system to detect user's condition and attract attention of CGA robots, so they can perform a full examination on a need basis. The main advantages of this system are: i) it can be attached to any standard commercial cane; ii) its power consumption is very reduced; and iii) it provides continuous information as long as the user walks. It has been tested with several elderly volunteers in care facilities. Results have proven that the sensor readings are indeed correlated with the users' condition.

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Wearable Weight Estimation System

Cited by 12 publications

References 14 publications

A Comparative Review of Footwear-Based Wearable Systems

A Comparative Review of Footwear-Based Wearable Systems

Exploring the effect of food intake and physical activity on body weight

A cane-based low cost sensor to implement attention mechanisms in telecare robots

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