Search results for "liikeanalyysi"

Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes

2022

Background: Injury risk prediction is an emerging field in which more research is needed to recognize the best practices for accurate injury risk assessment. Important issues related to predictive machine learning need to be considered, for example, to avoid overinterpreting the observed prediction performance. Purpose: To carefully investigate the predictive potential of multiple predictive machine learning methods on a large set of risk factor data for anterior cruciate ligament (ACL) injury; the proposed approach takes into account the effect of chance and random variations in prediction performance. Study Design: Case-control study; Level of evidence, 3. Methods: The authors used 3-dime…

Markerless 2D kinematic analysis of underwater running : A deep learning approach

2018

Kinematic analysis is often performed with a camera system combined with reflective markers placed over bony landmarks. This method is restrictive (and often expensive), and limits the ability to perform analyses outside of the lab. In the present study, we used a markerless deep learning-based method to perform 2D kinematic analysis of deep water running, a task that poses several challenges to image processing methods. A single GoPro camera recorded sagittal plane lower limb motion. A deep neural network was trained using data from 17 individuals, and then used to predict the locations of markers that approximated joint centres. We found that 300–400 labelled images were sufficient to tra…

Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity

2020

Protruding impact peak is one of the features of vertical ground reaction force (GRF) that is related to injury risk while running. The present research is dedicated to predicting GRF impact peak appearance by setting a binary classification problem. Kinematic data, namely a number of raw signals in the sagittal plane, collected by the Vicon motion capture system (Oxford Metrics Group, UK) were employed as predictors. Therefore, the input data for the predictive model are presented as a multi-channel time series. Deep learning techniques, namely five convolutional neural network (CNN) models were applied to the binary classification analysis, based on a Multi-Layer Perceptron (MLP) classifi…

Nonverbal synchrony in couple therapy linked to clients’ well-being and the therapeutic alliance

2021

Nonverbal synchrony between individuals has a robust relation to the positive aspects of relationships. In psychotherapy, where talking is the cure, nonverbal synchrony has been related to a positive outcome of therapy and to a stronger therapeutic alliance between therapist and client in dyadic settings. Only a few studies have focused on nonverbal synchrony in multi-actor therapy conversations. Here, we studied the synchrony of head and body movements in couple therapy, with four participants present (spouses and two therapists). We analyzed more than 2000min of couple therapy videos from 11 couple therapy cases using Motion Energy Analysis and a Surrogate Synchrony (SUSY), a procedure us…

Prediction of active peak force using a multilayer perceptron

2017

Both kinematic parameters and ground reaction forces (GRFs) are necessary for understanding the biomechanics of running. Kinematic information of a runner is typically measured by a motion capture system whereas GRF during the support phase of running is measured by force platforms. To analyze both kinematics and kinetics of a runner over several subsequent contacts, an instrumented treadmill or alternatively several force platforms installed over a regulated space are available options, but they are highly immovable, expensive, and sometimes even impractical options. Naturally, it would be highly useful to predict GRFs using a motion capture system only and this way reduce costs and comple…

Embodied Meter Revisited : Entrainment, Musical Content, and Genre in Music-Induced Movement

2022

Previous research has shown that humans tend to embody musical meter at multiple beat levels during spontaneous dance. This work that been based on identifying typical periodic movement patterns, or eigenmovements, and has relied on time-domain analyses. The current study: 1) presents a novel method of using time-frequency analysis in conjunction with group-level tensor decomposition; 2) compares its results to time-domain analysis, and 3) investigates how the amplitude of eigenmovements depends on musical content and genre. Data comprised three-dimensional motion capture of 72 participants’ spontaneous dance movements to 16 stimuli including eight different genres. Each trial was subjected…

Segmentation boundaries in accelerometer data of arm motion induced by music : online computation and perceptual assessment

2022

Segmentation is a cognitive process involved in the understanding of information perceived through the senses. Likewise, the automatic segmentation of data captured by sensors may be used for the identification of patterns. This study is concerned with the segmentation of dancing motion captured by accelerometry and its possible applications, such as pattern learning and recognition, or gestural control of devices. To that effect, an automatic segmentation system was formulated and tested. Two participants were asked to ‘dance with one arm’ while their motion was measured by an accelerometer. The performances were recorded on video, and manually segmented by six annotators later. The annota…

EMF-kalvon käyttö voimistelun hypyssä

2004

Tuomas Moisio( 2004), EMF-kalvon käyttö voimistelun hypyssä, Biomekaniikan pro-gradu -tutkielma, Liikuntabiologian laitos, Jyväskylän yliopisto, 69 sivua. EMF-kalvo (Electromechanical film) on ohut ja joustava elektreettimuovikalvo. Kal-volla voidaan mitata dynaamista voimaa. Tutkimuksessa rakennettiin EMF-kalvoon pe-rustuva voimamittausjärjestelmä voimistelun hyppylaudalle. Järjestelmällä pystyttiin mittaamaan hyppääjän ja hyppylaudan välinen vertikaalinen reaktiovoimakäyrä. Voima-aikakäyrästä laskettiin vertikaalinen lähtönopeus, jota verrattiin liikeanalyysistä saatuun tulokseen. Koemittaukset suoritettiin Suomen, Ruotsin, Englannin ja Latvian välisestä maaottelu-kilpailun telinekokeilus…

Taidetanssin ammattilaisten käsityksiä nykytanssin ilmaisusta

2011

Yhdistetyn voima- ja kestävyysharjoittelun suoritusjärjestyksen vaikutus lajihyppyihin 12-14-vuotiailla joukkuevoimistelijatytöillä

2012

Hiltunen, Terhi 2012. Yhdistetyn voima- ja kestävyysharjoittelun suoritusjärjestyksen vaikutus lajihyppyihin 12–14-vuotiailla joukkuevoimistelijatytöillä. Liikuntabiologian laitos, Jyväskylän yliopisto, 63 sivua. Joukkuevoimistelussa tarvitaan fyysisiä ominaisuuksia, kuten liikkuvuutta, nopeutta ja voimaa. Joukkuevoimistelun kilpailuohjelma koostuu muun muassa hypyistä, tasapainoista ja vartalon liikkeistä. Voimistelulajeissa hyppiminen on yksi tärkeimmistä motorisista taidoista. Tutkimuksen tarkoituksena oli tutkia yhdistetyn kestävyys- ja voimaharjoittelun järjestyksen vaikutusta joukkuevoimistelun hyppyihin sekä kestävyys- ja voimaominaisuuksiin 12–14-vuotiailla joukkuevoimistelijatytöil…