IEEE J Biomed Health Inform - Designing a robust activity recognition framework for health and exergaming using wearable sensors.

Tópicos

{ featur(3375) classif(2383) classifi(1994) }
{ activ(1452) weight(1219) physic(1104) }
{ learn(2355) train(1041) set(1003) }
{ first(2504) two(1366) second(1323) }
{ framework(1458) process(801) describ(734) }
{ monitor(1329) mobil(1314) devic(1160) }
{ model(3480) simul(1196) paramet(876) }
{ use(976) code(926) identifi(902) }
{ imag(2675) segment(2577) method(1081) }
{ error(1145) method(1030) estim(1020) }
{ method(1969) cluster(1462) data(1082) }
{ algorithm(1844) comput(1787) effici(935) }
{ featur(1941) imag(1645) propos(1176) }
{ blood(1257) pressur(1144) flow(957) }
{ data(3008) multipl(1320) sourc(1022) }
{ method(2212) result(1239) propos(1039) }
{ model(3404) distribut(989) bayesian(671) }
{ inform(2794) health(2639) internet(1427) }
{ imag(2830) propos(1344) filter(1198) }
{ control(1307) perform(991) simul(935) }
{ data(3963) clinic(1234) research(1004) }
{ research(1085) discuss(1038) issu(1018) }
{ sampl(1606) size(1419) use(1276) }
{ activ(1138) subject(705) human(624) }
{ drug(1928) target(777) effect(648) }
{ detect(2391) sensit(1101) algorithm(908) }
{ bind(1733) structur(1185) ligand(1036) }
{ method(1219) similar(1157) match(930) }
{ take(945) account(800) differ(722) }
{ problem(2511) optim(1539) algorithm(950) }
{ import(1318) role(1303) understand(862) }
{ compound(1573) activ(1297) structur(1058) }
{ spatial(1525) area(1432) region(1030) }
{ data(2317) use(1299) case(1017) }
{ cost(1906) reduc(1198) effect(832) }
{ time(1939) patient(1703) rate(768) }
{ use(2086) technolog(871) perceiv(783) }
{ high(1669) rate(1365) level(1280) }
{ process(1125) use(805) approach(778) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ sequenc(1873) structur(1644) protein(1328) }
{ network(2748) neural(1063) input(814) }
{ patient(2315) diseas(1263) diabet(1191) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ chang(1828) time(1643) increas(1301) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ case(1353) use(1143) diagnosi(1136) }
{ howev(809) still(633) remain(590) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ system(1050) medic(1026) inform(1018) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ perform(1367) use(1326) method(1137) }
{ studi(1119) effect(1106) posit(819) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ intervent(3218) particip(2042) group(1664) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ cancer(2502) breast(956) screen(824) }
{ use(1733) differ(960) four(931) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }

Resumo

Detecting human activity independent of intensity is essential in many applications, primarily in calculating metabolic equivalent rates and extracting human context awareness. Many classifiers that train on an activity at a subset of intensity levels fail to recognize the same activity at other intensity levels. This demonstrates weakness in the underlying classification method. Training a classifier for an activity at every intensity level is also not practical. In this paper, we tackle a novel intensity-independent activity recognition problem where the class labels exhibit large variability, the data are of high dimensionality, and clustering algorithms are necessary. We propose a new robust stochastic approximation framework for enhanced classification of such data. Experiments are reported using two clustering techniques, K-Means and Gaussian Mixture Models. The stochastic approximation algorithm consistently outperforms other well-known classification schemes which validate the use of our proposed clustered data representation. We verify the motivation of our framework in two applications that benefit from intensity-independent activity recognition. The first application shows how our framework can be used to enhance energy expenditure calculations. The second application is a novel exergaming environment aimed at using games to reward physical activity performed throughout the day, to encourage a healthy lifestyle.

Resumo Limpo

detect human activ independ intens essenti mani applic primarili calcul metabol equival rate extract human context awar mani classifi train activ subset intens level fail recogn activ intens level demonstr weak under classif method train classifi activ everi intens level also practic paper tackl novel intensityindepend activ recognit problem class label exhibit larg variabl data high dimension cluster algorithm necessari propos new robust stochast approxim framework enhanc classif data experi report use two cluster techniqu kmean gaussian mixtur model stochast approxim algorithm consist outperform wellknown classif scheme valid use propos cluster data represent verifi motiv framework two applic benefit intensityindepend activ recognit first applic show framework can use enhanc energi expenditur calcul second applic novel exergam environ aim use game reward physic activ perform throughout day encourag healthi lifestyl

Resumos Similares

J Med Syst - Better physical activity classification using smartphone acceleration sensor. ( 0,68669300187714 )
J. Med. Internet Res. - Classification accuracies of physical activities using smartphone motion sensors. ( 0,634670121294823 )
IEEE Trans Pattern Anal Mach Intell - Support Vector Machine Classifier with Pinball Loss. ( 0,620880584919457 )
Comput. Biol. Med. - EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm. ( 0,611010092660779 )
J Integr Bioinform - Modelling proteolytic enzymes with Support Vector Machines. ( 0,599390443968694 )
J Med Syst - A software framework for building biomedical machine learning classifiers through grid computing resources. ( 0,597713166503604 )
Int J Neural Syst - Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination. ( 0,595944521284473 )
Comput Methods Programs Biomed - Complex extreme learning machine applications in terahertz pulsed signals feature sets. ( 0,594638124098241 )
Comput Methods Programs Biomed - Hepatitis disease diagnosis using a novel hybrid method based on support vector machine and simulated annealing (SVM-SA). ( 0,593207936267141 )
Artif Intell Med - A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment. ( 0,589540363857274 )
Comput Methods Programs Biomed - Clustering technique-based least square support vector machine for EEG signal classification. ( 0,586918370716864 )
J Chem Inf Model - Classifying large chemical data sets: using a regularized potential function method. ( 0,58559748017199 )
Med Biol Eng Comput - Feature selection on movement imagery discrimination and attention detection. ( 0,583290924932669 )
Int J Neural Syst - Improved adaptive splitting and selection: the hybrid training method of a classifier based on a feature space partitioning. ( 0,5819347214578 )
Int J Comput Assist Radiol Surg - Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data. ( 0,578005976691339 )
J Med Syst - Symptomatic vs. asymptomatic plaque classification in carotid ultrasound. ( 0,575697720694331 )
IEEE J Biomed Health Inform - Automatic detection of atrial fibrillation in cardiac vibration signals. ( 0,574178899283199 )
J Med Syst - Statistical analysis of textural features for improved classification of oral histopathological images. ( 0,573435638387212 )
Comput Math Methods Med - Comparison of two methods forecasting binding rate of plasma protein. ( 0,572401368855517 )
Comput Methods Programs Biomed - An associative memory approach to medical decision support systems. ( 0,57234839827105 )
Comput. Biol. Med. - Robust prediction of protein subcellular localization combining PCA and WSVMs. ( 0,572160537069956 )
Comput. Biol. Med. - Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation. ( 0,571656503974708 )
Comput Math Methods Med - Mixed-norm regularization for brain decoding. ( 0,570717571691764 )
J Chem Inf Model - Classifying molecules using a sparse probabilistic kernel binary classifier. ( 0,569569328564418 )
IEEE Trans Image Process - Separable Markov random field model and its applications in low level vision. ( 0,569223515816857 )
J Integr Bioinform - Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns. ( 0,56424392962726 )
Comput Methods Programs Biomed - Comparison of machine learning methods for classifying aphasic and non-aphasic speakers. ( 0,563862009257965 )
Comput. Biol. Med. - Investigating the performance improvement of HRV Indices in CHF using feature selection methods based on backward elimination and statistical significance. ( 0,563263869825111 )
IEEE J Biomed Health Inform - Comparing supervised learning techniques on the task of physical activity recognition. ( 0,56310201447744 )
IEEE Trans Image Process - Efficient HIK SVM learning for image classification. ( 0,556751590930842 )
Med Biol Eng Comput - Decision support system for age-related macular degeneration using discrete wavelet transform. ( 0,556528118098726 )
Comput. Biol. Med. - A classification system based on a new wrapper feature selection algorithm for the diagnosis of primary and secondary polycythemia. ( 0,556216753084587 )
Comput. Biol. Med. - Relabeling algorithm for retrieval of noisy instances and improving prediction quality. ( 0,553386023047611 )
IEEE Trans Image Process - Learning conditional random fields for classification of hyperspectral images. ( 0,553200809661363 )
IEEE Trans Pattern Anal Mach Intell - Learning Hierarchical Features for Scene Labeling. ( 0,551516326703652 )
Neural Comput - Feature selection for ordinal text classification. ( 0,551273242631632 )
Neural Comput - A unified classification model based on robust optimization. ( 0,550892041924009 )
Comput Math Methods Med - SVM versus MAP on accelerometer data to distinguish among locomotor activities executed at different speeds. ( 0,548451664740372 )
IEEE J Biomed Health Inform - Multiple kernel learning in the primal for multimodal Alzheimer's disease classification. ( 0,548204357189342 )
Int J Comput Assist Radiol Surg - Building an ensemble system for diagnosing masses in mammograms. ( 0,546915550094628 )
Comput Methods Programs Biomed - Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis. ( 0,544769853744117 )
Comput. Biol. Med. - Mammographical mass detection and classification using local seed region growing-spherical wavelet transform (LSRG-SWT) hybrid scheme. ( 0,544444444444444 )
Artif Intell Med - Vicinal support vector classifier using supervised kernel-based clustering. ( 0,542688799549951 )
Artif Intell Med - Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction. ( 0,542642577156226 )
Artif Intell Med - Prediction of intraoperative complexity from preoperative patient data for laparoscopic cholecystectomy. ( 0,540776800435354 )
Comput. Biol. Med. - A multi-stage automatic arrhythmia recognition and classification system. ( 0,540751648558536 )
Comput Math Methods Med - Model independent MRE data analysis. ( 0,540127662444622 )
Comput. Biol. Med. - A supervised orthogonal discriminant projection for tumor classification using gene expression data. ( 0,539994818910572 )
Neural Comput - Reduction from cost-sensitive ordinal ranking to weighted binary classification. ( 0,539634309101408 )
Comput Biol Chem - CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition. ( 0,539485392681077 )
J Am Med Inform Assoc - A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction. ( 0,538636363636364 )
IEEE Trans Image Process - Multiple-kernel, multiple-instance similarity features for efficient visual object detection. ( 0,537418426741067 )
Neural Comput - Online learning with (multiple) kernels: a review. ( 0,536161853758904 )
Int J Med Inform - Motivating and assisting physical exercise in independently living older adults: a pilot study. ( 0,535232317746273 )
Comput Math Methods Med - An ensemble-of-classifiers based approach for early diagnosis of Alzheimer's disease: classification using structural features of brain images. ( 0,534353125690854 )
Artif Intell Med - Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers. ( 0,532220379919276 )
Comput Methods Programs Biomed - A random forest classifier for lymph diseases. ( 0,529821171142763 )
Comput Methods Programs Biomed - A new hybrid intelligent system for accurate detection of Parkinson's disease. ( 0,529214904733389 )
Comput Math Methods Med - Correlation kernels for support vector machines classification with applications in cancer data. ( 0,528960095568171 )
IEEE Trans Image Process - Efficient image classification via multiple rank regression. ( 0,528545613089617 )
Comput. Biol. Med. - Detection and classification of retinal lesions for grading of diabetic retinopathy. ( 0,52770316613083 )
Med Biol Eng Comput - Classification of multichannel EEG patterns using parallel hidden Markov models. ( 0,526983799833881 )
Neural Comput - Neural mass activity, bifurcations, and epilepsy. ( 0,526955314030587 )
Comput Methods Programs Biomed - An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms. ( 0,526779267955809 )
Comput Biol Chem - Information-theoretic approaches to SVM feature selection for metagenome read classification. ( 0,526393390616406 )
J Med Syst - A three-stage expert system based on support vector machines for thyroid disease diagnosis. ( 0,526108749222464 )
Comput Biol Chem - A novel divide-and-merge classification for high dimensional datasets. ( 0,525364963547727 )
Comput Math Methods Med - Fast discriminative stochastic neighbor embedding analysis. ( 0,52520166517208 )
Med Biol Eng Comput - Efficient automatic classifiers for the detection of A phases of the cyclic alternating pattern in sleep. ( 0,524727445017604 )
Comput Math Methods Med - An expert system based on Fisher score and LS-SVM for cardiac arrhythmia diagnosis. ( 0,524179175606524 )
IEEE Trans Image Process - A novel technique for subpixel image classification based on support vector machine. ( 0,522513181598864 )
Artif Intell Med - Subpopulation-specific confidence designation for more informative biomedical classification. ( 0,522347998966368 )
Int J Neural Syst - Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy. ( 0,521197027489043 )
Comput Math Methods Med - Discrimination between Alzheimer's disease and mild cognitive impairment using SOM and PSO-SVM. ( 0,521100310362214 )
Comput. Biol. Med. - Contourlet-based mammography mass classification using the SVM family. ( 0,52057315507971 )
Comput Math Methods Med - An intelligent system approach for asthma prediction in symptomatic preschool children. ( 0,519875244910036 )
J Chem Inf Model - GA(M)E-QSAR: a novel, fully automatic genetic-algorithm-(meta)-ensembles approach for binary classification in ligand-based drug design. ( 0,519435147437336 )
Comput Math Methods Med - Statistical texture modeling for medical volume using linear tensor coding. ( 0,518419898515162 )
AMIA Annu Symp Proc - Improving predictions in imbalanced data using Pairwise Expanded Logistic Regression. ( 0,517499959472164 )
J Med Syst - Automated screening of arrhythmia using wavelet based machine learning techniques. ( 0,517446520369311 )
IEEE Trans Neural Netw Learn Syst - Adaptive Batch Mode Active Learning. ( 0,517031723335242 )
Methods Inf Med - Automated classification of free-text pathology reports for registration of incident cases of cancer. ( 0,517022793047562 )
Neural Comput - Kernel current source density method. ( 0,516066145930256 )
IEEE Trans Image Process - A speed-up scheme based on multiple-instance pruning for pedestrian detection using a support vector machine. ( 0,515726696976243 )
J. Comput. Biol. - Prediction of rare single-nucleotide causative mutations for muscular diseases in pooled next-generation sequencing experiments. ( 0,514914597957145 )
Artif Intell Med - A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets. ( 0,514152834423802 )
Artif Intell Med - Suppressed fuzzy-soft learning vector quantization for MRI segmentation. ( 0,513655747182844 )
J Med Syst - A robust multi-class feature selection strategy based on Rotation Forest Ensemble algorithm for diagnosis of Erythemato-Squamous diseases. ( 0,513589480606225 )
IEEE Trans Pattern Anal Mach Intell - Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data. ( 0,512742550538997 )
Neural Comput - Dimensionality of object representations in monkey inferotemporal cortex. ( 0,510960256263465 )
IEEE Trans Pattern Anal Mach Intell - Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms. ( 0,510411919600143 )
Comput. Biol. Med. - Identification of epilepsy stages from ECoG using genetic programming classifiers. ( 0,509745036144603 )
Comput Math Methods Med - Feature selection for better identification of subtypes of Guillain-Barr? syndrome. ( 0,508919331119308 )
IEEE Trans Image Process - Walsh-Hadamard transform kernel-based feature vector for shot boundary detection. ( 0,508345888407384 )
Comput Methods Programs Biomed - Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms. ( 0,507870194607604 )
IEEE Trans Pattern Anal Mach Intell - A Minimum Volume Covering Approach With a Set of Ellipsoids. ( 0,50709255283711 )
J Biomed Inform - A fast gene selection method for multi-cancer classification using multiple support vector data description. ( 0,504435546236101 )
Comput. Biol. Med. - Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection. ( 0,504364186976274 )
Artif Intell Med - Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology. ( 0,504132301676218 )
Comput Methods Programs Biomed - An attribute weight assignment and particle swarm optimization algorithm for medical database classifications. ( 0,504049535329549 )