Sensors for Gait, Posture, and Health Monitoring Volume 2

• Format: eBook
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: Humanities; Social interaction; 3-axis force sensor; abduction; acceleration; acceleration signal; accelerometer; accelerometers; accelerometry; accidental falls; Achilles tendon; ActiGraph; adaptability; adolescents; adults; adverse post-operative outcome; aging; Alzheimer's disease; angular velocity; ankle reaching task; ANOVA analysis; anterior cruciate ligament; appropriate mother wavelet; arch index; artificial neural network; asymmetry; at-home monitoring; autocorrelation; autoencoders; automated assessment; automatic coaching; batteryless strain sensor; biaxial optical fiber sensor; biogeography-based optimization; biomechanic measurement tasks; biomechanical gait features; biomechanical gait variable estimation; biomechanics; biometrics; bipedal locomotion; cadence; calibration; callus; center of mass; center of pressure (COP); cerebral palsy; chair stand; children; classical style; classification; clinical; cognitive frailty; cognitive-motor impairment; complementary filter; concussion; conductive textile; convolutional neural network; cross-country skiing; deep learning; dehydration; diagnostic; distributed compressed sensing; domestic environment; dual task walking; dynamic time warping; e-Health application; Ecoflex; eHealth; elderly people monitoring; electromyography; electrostatic field sensing; ensemble classifiers; ensemble method; equivalent speed; ESOQ-2; exergame; fall detection; fall detection system; fall prevention; fall risk; fall risk assessment; falls in healthy elderly; falls in the elderly; fast Fourier transform (FFT); feature extraction; feedback technology; fine-wire intramuscular EMG electrode; flat foot; flexible sensor; foot insoles; foot plantar center of pressure; force distribution; force sensitive resistors; force sensors; force-varying muscle contraction; frailty; frailty prediction; free-living; functional activity; functional decline; fusion data; fuzzy logic; gait; gait analysis; gait classification; gait event detection; gait events; gait measurement; gait pattern; gait recognition; gait rehabilitation; geriatric assessment; ground reaction force (GRF); ground reaction forces; gyroscope; gyroscopes; hallux abductus valgus; hand tracking; handgrip force; haptic cue; health and well-being; health monitoring; hemiparetic; hemiplegic gait; high heel; high heels; human; human activity recognition; human computer interface; human daily activity; human fall detection; human gait recognition; human kinematics; human motion measurement; imaging; impaired gait classification; IMU; IMU sensors; inertial and magnetic sensors; inertial gait variable; inertial measurement unit; inertial measurement units; inertial motion units (IMUs); inertial sensor; inertial sensors; injury prevention; insole; insoles; instrumented trail-making task; intelligent surveillance systems; IoT; joint instability; joint moment; joint sparse representation classification; Kinect; kinematics; kinetics; knee; knee damping control; linear mixed model; locomotion; long short-term memory; low-cost instrumented insoles; lower limb locomotion activity; lower limb prosthesis; lower limb prosthetics; machine learning; machine learning algorithms; MET; micro electro mechanical systems (MEMS); Microsoft Kinect; moderate-to-vigorous activity; motion; motion analysis; motion capture; motion parameters; motor control; motor planning error; motorcycling; motorized walker; movement control; movement disorders; MR damper; multi-objective optimization; multi-sensor gait classification; multiplexed fiber Bragg gratings; muscle contractions; muscle contributions; n/a; neural networks; neurological disorders; neurorehabilitation; non-human primate model; nondestructive; nonlinear; nonlinear analysis; obesity; older adults; on-line EM algorithm; operating range; osteoarthritis; outlier detection; Parkinson's disease; Parkinson's disease (PD); Parkinson's Diseases; partial weight loading; pattern recognition; PDMS; peak tibial acceleration; Pedometer; phase difference angle; physical activity; physical function; physical performance test; physical rehabilitation; piezoelectric material; plantar pressure; postural control; postural instability and gait difficulty (PIGD); postural stability; posture; power; pre-frail; propulsion; proximal phalanx of the hallux; quantifying socket fit; real-time feedback; real-time monitoring; regularity; rehabilitation; rehabilitation exercise; relative movement; relative power; reliability; repeatability; resonant frequency modulation; RGB-depth; RGB-Depth; running; running velocity; safety and security; scanning laser rangefinders (SLR), GAITRite; sedentary behavior; self-adaptation; self-assessment; self-tuning triple threshold algorithm; semi-Markov model; semi-unsupervised; sensor fusion; sensors; shear and plantar pressure sensor; shear stress; shoe; signal processing; sit to stand transfer; sit-to-stand training; skating style; smart cane; smart footwear; smart shoe; smartphone; smartphone based assessments; smartphones; spatiotemporal parameters; speed; sports analytics; statistics study; step counting; step detection; step length; Step-detection; steps; stride length; stroke; stroke patients; supervised learning; surface electromyography; sweat rate; sweat sensor; symmetry; telemedicine; telemonitoring of gait; telerehabilitation; temporal parameters; tendinopathy; total knee arthroplasty; trans-femoral amputee; transfemoral prosthesis; transition matrices; traumatic spinal cord injury; tremor dominant (TD); triplet Markov model; trunk movement; TUG; ultrasonography; UPDRS; UPDRS tasks; user intent recognition; valgus; validation; validity; variability; velocity; velocity and stride-length; vestibular exercises; virtual therapy; VO2; VO2net; walk; walk detection; walking; wavelet scale selection; wavelet transform; wavelet transform (WT); wavelet-selection criteria; wearable; wearable device; wearable electronic devices; wearable sensor; wearable sensors; wearable/inertial sensors; wearables; weight-bearing; wireless strain sensor; woman
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (392 p.)
• ISBN: 9783039363445; 9783039363452; books978-3-03936-345-2
• Access: Open Access

In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance