| Q55112318 | 'Project Spraoi': A randomized control trial to improve nutrition and physical activity in school children. |
| Q33444553 | A Comparative Study on the Suitability of Smartphones and IMU for Mobile, Unsupervised Energy Expenditure Calculi |
| Q38893368 | A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans. |
| Q33649635 | A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson's Disease Patients |
| Q34153729 | A combined sEMG and accelerometer system for monitoring functional activity in stroke |
| Q42629961 | A fall and near-fall assessment and evaluation system |
| Q33653984 | A feasibility study of wearable activity monitors for pre-adolescent school-age children |
| Q38175810 | A guide to assessing physical activity using accelerometry in cancer patients |
| Q30660264 | A method to estimate free-living active and sedentary behavior from an accelerometer. |
| Q30424404 | A new approach for assessing sleep duration and postures from ambulatory accelerometry |
| Q88599080 | A novel device for continuous monitoring of tremor and other motor symptoms |
| Q35219153 | A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers |
| Q35594014 | A review of accelerometry-based wearable motion detectors for physical activity monitoring |
| Q30625173 | A semi-quantitative method to denote generic physical activity phenotypes from long-term accelerometer data--the ATLAS index |
| Q26865302 | A survey of system architecture requirements for health care-based wireless sensor networks |
| Q49167233 | A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study |
| Q35022098 | A wearable inertial measurement unit for long-term monitoring in the dependency care area |
| Q94064023 | Abstracts |
| Q34054905 | Accelerometer and gyroscope based gait analysis using spectral analysis of patients with osteoarthritis of the knee |
| Q35132842 | Accelerometer-determined physical activity and self-reported health in a population of older adults (65-85 years): a cross-sectional study |
| Q51618346 | Accelerometry estimates field metabolic rate in giant Australian cuttlefish Sepia apama during breeding. |
| Q45017709 | Accelerometry for evaluation of gait pattern in healthy soccer athletes |
| Q37227824 | Activity recognition using a single accelerometer placed at the wrist or ankle |
| Q57570451 | Ambulatory estimation of mean step length during unconstrained walking by means of COG accelerometry |
| Q33444349 | An Ambulatory System for Gait Monitoring Based on Wireless Sensorized Insoles |
| Q51484078 | Analysis and decomposition of accelerometric signals of trunk and thigh obtained during the sit-to-stand movement. |
| Q90040925 | Analyzing the Use of Accelerometers as a Method of Early Diagnosis of Alterations in Balance in Elderly People: A Systematic Review |
| Q31088012 | Application testing of a new three-dimensional acceleration measuring system with wireless data transfer (WAS) for behavior analysis |
| Q49652510 | Association between trunk acceleration during walking and clinically assessed balance in patients with stroke |
| Q50302234 | Automated Detection of Stereotypical Motor Movements |
| Q35856429 | Automatic assessment of the motor state of the Parkinson's disease patient--a case study. |
| Q33441263 | Better physical activity classification using smartphone acceleration sensor |
| Q37185027 | Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer |
| Q80905749 | Classification of basic daily movements using a triaxial accelerometer |
| Q40480629 | Classifying human leg motions with uniaxial piezoelectric gyroscopes |
| Q43604452 | Comparability of accelerometer- and IPAQ-derived physical activity and sedentary time in South Asian women: A cross-sectional study |
| Q37122857 | Compensatory Postural Adjustments in an Oculus Virtual Reality Environment and the Risk of Falling in Alzheimer's Disease |
| Q26830332 | Considerations for development of sensing and monitoring tools to facilitate treatment and care of persons with lower-limb loss: a review |
| Q42613668 | Correlation of accelerometry with clinical balance tests in older fallers and non-fallers |
| Q34135598 | Criterion and construct validity of prosthesis-integrated measurement of joint moment data in persons with transtibial amputation |
| Q33986566 | Dealing with the effects of sensor displacement in wearable activity recognition |
| Q47700039 | Detection of walking periods and number of steps in older adults and patients with Parkinson's disease: accuracy of a pedometer and an accelerometry-based method |
| Q35873541 | Determinants of physical activity and exercise in healthy older adults: a systematic review |
| Q35230646 | Determining energy expenditure from treadmill walking using hip-worn inertial sensors: an experimental study |
| Q39401196 | Does the evaluation of gait quality during daily life provide insight into fall risk? A novel approach using 3-day accelerometer recordings |
| Q30670955 | Exploratory data analysis of acceleration signals to select light-weight and accurate features for real-time activity recognition on smartphones |
| Q57811678 | Feature Selection and Comparison of Machine Learning Algorithms in Classification of Grazing and Rumination Behaviour in Sheep |
| Q58997358 | Frailty in relation to sedentary behaviours and moderate-vigorous intensity physical activity |
| Q26863641 | Gait analysis using wearable sensors |
| Q33440076 | Hand, belt, pocket or bag: Practical activity tracking with mobile phones |
| Q45943021 | Home Camera-Based Fall Detection System for the Elderly. |
| Q38976014 | In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury |
| Q43981850 | Inertial measurement units furnish accurate trunk trajectory reconstruction of the sit-to-stand manoeuvre in healthy subjects |
| Q47173440 | Interaction between body weight status and walking speed in steps monitoring by GT3X accelerometer |
| Q52332344 | Joint Center Estimation Using Single-Frame Optimization: Part 1: Numerical Simulation. |
| Q30398129 | Knowledge representation of motor activity of patients with Parkinson's disease |
| Q38542142 | Living Labs: overview of ecological approaches for health promotion and rehabilitation |
| Q47108368 | Manual physical balance assistance of therapists during gait training of stroke survivors: characteristics and predicting the timing. |
| Q34058218 | Measurement of osteogenic exercise - how to interpret accelerometric data? |
| Q37745050 | Micro-nano-biosystems: An overview of European research |
| Q42324742 | Mobile psychiatry: towards improving the care for bipolar disorder |
| Q64910469 | Monitoring activity of inpatient lower limb prosthetic users in rehabilitation using accelerometry: Validation study. |
| Q34764278 | Monitoring functional capability of individuals with lower limb amputations using mobile phones |
| Q36759540 | Monitoring technology for the elderly patient. |
| Q36830297 | Motion mode recognition and step detection algorithms for mobile phone users. |
| Q44206332 | Multimodal sensor-based fall detection within the domestic environment of elderly people |
| Q33568106 | No seasonal variation in physical activity of Han Chinese living in Beijing |
| Q60483244 | Novel Use of a Smartphone to Measure Standing Balance |
| Q39046085 | Nutritional therapy assessment - Outpatient mobility monitoring (MAM). |
| Q54985577 | Obesity parameters, physical activity, and physical fitness are correlated with serum dipeptidyl peptidase IV activity in a healthy population. |
| Q40257716 | Objective measurement of upper limb activity and mobility during everyday behavior using ambulatory accelerometry: the upper limb activity monitor |
| Q37241525 | Objectively measured physical activity of USA adults by sex, age, and racial/ethnic groups: a cross-sectional study |
| Q62607920 | Older Adults’ Perceptions of Fall Detection Devices |
| Q64983213 | On Placement, Location and Orientation of Wrist-Worn Tri-Axial Accelerometers during Free-Living Measurements. |
| Q41860488 | On the use of sensor fusion to reduce the impact of rotational and additive noise in human activity recognition |
| Q39381701 | Optimal placement of accelerometers for the detection of everyday activities. |
| Q37644327 | Optimal sensor placement for measuring physical activity with a 3D accelerometer. |
| Q58750345 | Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling |
| Q89683248 | Percentiles and Reference Values for the Accelerometric Assessment of Static Balance in Women Aged 50-80 Years |
| Q44048907 | Personalization Algorithm for Real-Time Activity Recognition Using PDA, Wireless Motion Bands, and Binary Decision Tree |
| Q35708064 | Physical Activities Monitoring Using Wearable Acceleration Sensors Attached to the Body |
| Q27313915 | Physical Health Problems and Environmental Challenges Influence Balancing Behaviour in Laying Hens |
| Q38119404 | Physical activity assessment tools for use in overweight and obese children |
| Q36447357 | Physical activity limitation as measured by accelerometry in pulmonary arterial hypertension. |
| Q39274092 | Physical activity, sleep, and C-reactive protein as markers of positive health in resilient older men. |
| Q36299829 | Position-sensing technologies for movement analysis in stroke rehabilitation |
| Q42599894 | Postural sway parameters using a triaxial accelerometer: comparing elderly and young healthy adults |
| Q43872066 | Pre-operative versus post-operative gait variability in patients with acute anterior cruciate ligament deficiency |
| Q39368369 | Quantitative Analysis of Motor Status in Parkinson's Disease Using Wearable Devices: From Methodological Considerations to Problems in Clinical Applications |
| Q35595322 | Real-time gait cycle parameter recognition using a wearable accelerometry system |
| Q35834215 | Recommended number of strides for automatic assessment of gait symmetry and regularity in above-knee amputees by means of accelerometry and autocorrelation analysis |
| Q27024479 | Redefining the roles of sensors in objective physical activity monitoring |
| Q36282006 | Reliability of accelerometric measurement of physical activity in older adults-the benefit of using the trimmed sum |
| Q36841786 | Restoration in Its Natural Context: How Ecological Momentary Assessment Can Advance Restoration Research |
| Q26822826 | Review of fall risk assessment in geriatric populations using inertial sensors |
| Q37359255 | Review of physical activity measurement using accelerometers in older adults: considerations for research design and conduct |
| Q30410643 | Smart wearable body sensors for patient self-assessment and monitoring. |
| Q55467512 | Social capital predicts accelerometry-measured physical activity among older adults in the U.S.: a cross-sectional study in the National Social Life, Health, and Aging Project. |
| Q36818373 | Step detection using multi- versus single tri-axial accelerometer-based systems |
| Q31157225 | Synergistic control of forearm based on accelerometer data and artificial neural networks |
| Q38878956 | Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs). |
| Q33664953 | The Use of IMMUs in a Water Environment: Instrument Validation and Application of 3D Multi-Body Kinematic Analysis in Medicine and Sport. |
| Q36888940 | The impact of physical training on locomotor function in older people. |
| Q23918441 | The reliability of side to side measurements of upper extremity activity levels in healthy subjects |
| Q36960057 | The validation of a novel activity monitor in the measurement of posture and motion during everyday activities |
| Q36141144 | Use of Accelerometers to Measure Real-Life Physical Activity in Ambulatory Individuals with Multiple Sclerosis: A Pilot Study |
| Q37997309 | Use of accelerometry to measure physical activity in adults and the elderly |
| Q24814523 | Using hierarchical clustering methods to classify motor activities of COPD patients from wearable sensor data |
| Q36377840 | Using mobile phones for activity recognition in Parkinson's patients |
| Q42411295 | Utility of accelerometers to measure physical activity in children attending an obesity treatment intervention |
| Q37399429 | Validity of using tri-axial accelerometers to measure human movement - Part I: Posture and movement detection |
| Q89878585 | Walking Recognition in Mobile Devices |
| Q38866895 | Wearable inertial sensors for human movement analysis |
| Q35199836 | Wearable sensor-based rehabilitation exercise assessment for knee osteoarthritis. |
| Q35593458 | Wearable systems for monitoring mobility-related activities in chronic disease: a systematic review |
| Q37310005 | Wearable systems for monitoring mobility-related activities in older people: a systematic review |
| Q34048324 | Which activity monitor to use? Validity, reproducibility and user friendliness of three activity monitors |
| Q39840241 | Window size impact in human activity recognition. |
| Q57518627 | [Measurement of physical activity in older adults. Correlation between the PRISCUS-PAQ and accelerometry] |