Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison

Milosevic, Bojan; Leardini, Alberto; Farella, Elisabetta

doi:10.1186/s12938-020-00762-7

Cited by 52 publications

(36 citation statements)

References 116 publications

(132 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Pose estimation techniques have been used to measure a patient's range of motion and movement during functional exercises and assess their progression towards a healthy range of motion [87][88][89]. In particular, there has been an emphasis on the use of pose estimation to monitor rehabilitation progress outside of the clinic, such as in home or on an athletic field [90][91][92][93]. Additionally, many technologies have been designed to actively interface with an individual to either support their movement during rehabilitation or to help provide a mechanical stimulus to enhance rehabilitation.…”

Section: Human Performance Optimization Injury Prevention and Safetymentioning

confidence: 99%

Applications of Pose Estimation in Human Health and Performance across the Lifespan

Stenum

Cherry‐Allen

Pyles

et al. 2021

Sensors

View full text Add to dashboard Cite

The emergence of pose estimation algorithms represents a potential paradigm shift in the study and assessment of human movement. Human pose estimation algorithms leverage advances in computer vision to track human movement automatically from simple videos recorded using common household devices with relatively low-cost cameras (e.g., smartphones, tablets, laptop computers). In our view, these technologies offer clear and exciting potential to make measurement of human movement substantially more accessible; for example, a clinician could perform a quantitative motor assessment directly in a patient’s home, a researcher without access to expensive motion capture equipment could analyze movement kinematics using a smartphone video, and a coach could evaluate player performance with video recordings directly from the field. In this review, we combine expertise and perspectives from physical therapy, speech-language pathology, movement science, and engineering to provide insight into applications of pose estimation in human health and performance. We focus specifically on applications in areas of human development, performance optimization, injury prevention, and motor assessment of persons with neurologic damage or disease. We review relevant literature, share interdisciplinary viewpoints on future applications of these technologies to improve human health and performance, and discuss perceived limitations.

show abstract

Section: Human Performance Optimization Injury Prevention and Safetymentioning

confidence: 99%

Applications of Pose Estimation in Human Health and Performance across the Lifespan

Stenum

Cherry‐Allen

Pyles

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The use of wearables such as triaxial accelerometers, gyroscopes, and inertial sensors to monitor and estimate the orientations of a body has been widely researched [12][13][14][15][16]. The sensors' usage has included measurement of the acceleration of the upper extremity post-stroke [17], indoor activity monitoring and classification [18][19][20][21][22][23], behaviour monitoring [24,25], and home-based motor functions rehabilitation [16], amongst others. In SPAREs, wearables such as foot-mounted inertial sensors have been used to estimate the orientation of the ankle [26].…”

Section: Wearable Sensing Solutionsmentioning

confidence: 99%

“…In SPAREs, wearables such as foot-mounted inertial sensors have been used to estimate the orientation of the ankle [26]. Although inertial-based motion sensors can be used to obtain locomotion parameters, they are sometimes influenced by the temperature of the sensing environment [16,27].…”

Section: Wearable Sensing Solutionsmentioning

confidence: 99%

“…Kinect provides a 3D estimation of users' postures and allows for realtime tracking of room occupants. It can also provide information on the joint segments of targeted persons [16,31,32]. Despite the remarkable usefulness of the Kinect sensors in games and rehabilitation, sensitivity to external infrared sources and reflective materials are the main drawbacks of their usage in home-based settings [33].…”

Section: Video-based Sensing Solutionsmentioning

confidence: 99%

See 1 more Smart Citation

Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments

Ekerete

García-Constantino

Diaz-Skeete

et al. 2021

Sensors

View full text Add to dashboard Cite

The ability to monitor Sprained Ankle Rehabilitation Exercises (SPAREs) in home environments can help therapists ascertain if exercises have been performed as prescribed. Whilst wearable devices have been shown to provide advantages such as high accuracy and precision during monitoring activities, disadvantages such as limited battery life and users’ inability to remember to charge and wear the devices are often the challenges for their usage. In addition, video cameras, which are notable for high frame rates and granularity, are not privacy-friendly. Therefore, this paper proposes the use and fusion of privacy-friendly and Unobtrusive Sensing Solutions (USSs) for data collection and processing during SPAREs in home environments. The present work aims to monitor SPAREs such as dorsiflexion, plantarflexion, inversion, and eversion using radar and thermal sensors. The main contributions of this paper include (i) privacy-friendly monitoring of SPAREs in a home environment, (ii) fusion of SPAREs data from homogeneous and heterogeneous USSs, and (iii) analysis and comparison of results from single, homogeneous, and heterogeneous USSs. Experimental results indicated the advantages of using heterogeneous USSs and data fusion. Cluster-based analysis of data gleaned from the sensors indicated an average classification accuracy of 96.9% with Neural Network, AdaBoost, and Support Vector Machine, amongst others.

show abstract

“…With the continuous development of sensing technology, people have shown great demand for advanced flexible electronic devices [ 1 , 2 ]. Among them, flexible temperature sensors have attracted the attention of many specialists and scholars domestically and abroad in recent years due to their unique properties of high efficiency, seamless contact with the dynamic human body, continuity, and longterm temperature monitoring [ 3 , 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

A Flexible Temperature Sensor for Noncontact Human-Machine Interaction

et al. 2021

View full text Add to dashboard Cite

Flexible sensors have attracted extensive attention because of their promising applications in the fields of health monitoring, intelligent robots, and electronic skin, etc. During the COVID-19 epidemic, noncontact control of public equipment such as elevators, game consoles, and doors has become particularly important, as it can effectively reduce the risk of cross-infection. In this work, a noncontact flexible temperature sensor is prepared via a simple dip-drying progress, in which poly(3,4-ethylenedioxythiophene):poly(4-styrene sulfonate) (PEDOT:PSS) and printer paper served as the sensing material and the flexible substrate, respectively. We combined the highly sensitive temperature-responsive property of PEDOT:PSS with the good hygroscopicity of printer paper. The prepared sensor shows high sensitivity and good stability in noncontact sensing mode within the temperature range of 20–50 °C. To prove the practicability of the noncontact temperature sensor, a 3 × 2 sensing array is prepared as a noncontact human-machine interface to realize the interaction between player and “Pound-A-Mole game” and a Bluetooth car. These two demos show the sensor′s ability to perceive nearby temperature changes, verifying its application potential as a noncontact human-machine interaction interface.

show abstract

Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison

Abstract: Background Emerging sensing and communication technologies are driving the innovation of a vast number of application fields, including fitness, healthcare and rehabilitation therapy [1]. Major drivers of healthcare innovation include the priority changes from treatment to

Cited by 52 publications

References 116 publications

Applications of Pose Estimation in Human Health and Performance across the Lifespan

Applications of Pose Estimation in Human Health and Performance across the Lifespan

Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments

A Flexible Temperature Sensor for Noncontact Human-Machine Interaction

Contact Info

Product

Resources

About