Dynamic auto-collimation method for performance inspection of optical tracking devices with gimbaled mirrors

2010 ◽  
Author(s):  
Min Gao ◽  
Zhenglan Bian ◽  
Zuoren Dong ◽  
Qing Ye ◽  
Ronghui Qu
Keyword(s):  
Optical Tracking ◽  
Tracking Devices ◽  
Performance Inspection

Two Optical Tracking Devices for Nocturnal Field Studies of Birds

1979 ◽  
Vol 2 ◽  
pp. 79 ◽  
Author(s):  
Dale H. Clayton ◽  
Charles L. Hartley ◽  
Michael Gochfeld
Keyword(s):  
Field Studies ◽  
Optical Tracking ◽  
Tracking Devices

1179 poster EVALUATION OF THE MOTION OF AN INTERNAL VOLUME BY MEANS SIGNALS SURROGATE ACQUIRED USING OPTICAL TRACKING DEVICES

2011 ◽  
Vol 99 ◽  
pp. S439
Author(s):  
G. Guidi ◽  
G. Mistretta ◽  
L. Binotti ◽  
L. Boni ◽  
F. Bertoni ◽  
...  
Keyword(s):  
Optical Tracking ◽  
Internal Volume ◽  
Tracking Devices

scholarly journals A standardized framework for testing the performance of sleep-tracking technology: step-by-step guidelines and open-source code

SLEEP ◽  
2020 ◽  
Author(s):  
Luca Menghini ◽  
Nicola Cellini ◽  
Aimee Goldstone ◽  
Fiona C Baker ◽  
Massimiliano de Zambotti
Keyword(s):  
Open Source ◽  
Validation Studies ◽  
Large Scale ◽  
Analytical Framework ◽  
Clinical Settings ◽  
Large Scale Data ◽  
Fast Pace ◽  
Epoch Analysis ◽  
Tracking Devices

Abstract Sleep-tracking devices, particularly within the consumer sleep technology (CST) space, are increasingly used in both research and clinical settings, providing new opportunities for large-scale data collection in highly ecological conditions. Due to the fast pace of the CST industry combined with the lack of a standardized framework to evaluate the performance of sleep trackers, their accuracy and reliability in measuring sleep remains largely unknown. Here, we provide a step-by-step analytical framework for evaluating the performance of sleep trackers (including standard actigraphy), as compared with gold-standard polysomnography (PSG) or other reference methods. The analytical guidelines are based on recent recommendations for evaluating and using CST from our group and others (de Zambotti and colleagues; Depner and colleagues), and include raw data organization as well as critical analytical procedures, including discrepancy analysis, Bland–Altman plots, and epoch-by-epoch analysis. Analytical steps are accompanied by open-source R functions (depicted at https://sri-human-sleep.github.io/sleep-trackers-performance/AnalyticalPipeline_v1.0.0.html). In addition, an empirical sample dataset is used to describe and discuss the main outcomes of the proposed pipeline. The guidelines and the accompanying functions are aimed at standardizing the testing of CSTs performance, to not only increase the replicability of validation studies, but also to provide ready-to-use tools to researchers and clinicians. All in all, this work can help to increase the efficiency, interpretation, and quality of validation studies, and to improve the informed adoption of CST in research and clinical settings.

scholarly journals A Skellam regression model for quantifying positional value in soccer

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Konstantinos Pelechrinis ◽  
Wayne Winston
Keyword(s):  
Regression Model ◽  
Video Game ◽  
Soccer Player ◽  
Performance Metrics ◽  
Optical Tracking ◽  
General Managers ◽  
Annual Salary ◽  
Using Data ◽  
English Premier League ◽  
Positional Value

Abstract Soccer is undeniably the most popular sport world-wide and everyone from general managers and coaching staff to fans and media are interested in evaluating players’ performance. Metrics applied successfully in other sports, such as the (adjusted) +/− that allows for division of credit among a basketball team’s players, exhibit several challenges when applied to soccer due to severe co-linearities. Recently, a number of player evaluation metrics have been developed utilizing optical tracking data, but they are based on proprietary data. In this work, our objective is to develop an open framework that can estimate the expected contribution of a soccer player to his team’s winning chances using publicly available data. In particular, using data from (i) approximately 20,000 games from 11 European leagues over eight seasons, and, (ii) player ratings from the FIFA video game, we estimate through a Skellam regression model the importance of every line (attackers, midfielders, defenders and goalkeeping) in winning a soccer game. We consequently translate the model to expected league points added above a replacement player (eLPAR). This model can further be used as a guide for allocating a team’s salary budget to players based on their expected contributions on the pitch. We showcase similar applications using annual salary data from the English Premier League and identify evidence that in our dataset the market appears to under-value defensive line players relative to goalkeepers.

scholarly journals Self-tracking of/and time: From technological to biographical and political temporalities of work and sitting

2020 ◽  
pp. 146144482098332
Author(s):  
Paula Saukko ◽  
Amie Weedon
Keyword(s):  
Public Sector ◽  
Work Conditions ◽  
Free Time ◽  
Office Workers ◽  
Sitting Time ◽  
User Experiences ◽  
Tracking Devices

Self-tracking devices have been observed to accelerate time, be used sporadically and busyness being a barrier to use at work. Drawing on notion of multiple temporalities, this article expands the focus on temporalities of users’ engagement with technologies to analysing them within broader biographical, institutional and political times. The argument is grounded in interviews with UK public sector office workers self-tracking sitting time that featured the following three themes: (1) the participants related their sitting to deteriorated work conditions after government austerity politics and redundancies, (2) the pressurised rhythm of work made it difficult to reduce sitting time and fostered a sense of discontent and powerlessness and (3) the workers did not self-track in their free time, defined as free from monitoring. We suggest that the analytical lens of multiple temporalities expands understanding of user experiences as well as illuminates lived contemporary political and institutional times, characterised by both discontent and powerlessness.

Operational analysis: A method for observing and analyzing digital media operations

2021 ◽  
pp. 146144482199864
Author(s):  
Kathrin Friedrich ◽  
A S Aurora Hoel
Keyword(s):  
Digital Media ◽  
Task Orientation ◽  
Operational Analysis ◽  
Media Technologies ◽  
Robotic Radiosurgery ◽  
Middle Range ◽  
Operational Models ◽  
Media Research ◽  
Media Applications ◽  
Tracking Devices

Interventional digital media applications such as robotic surgery, remote-controlled vehicles or wearable tracking devices pose a challenge to media research methodologically as well as conceptually. How do we go about analyzing operational media, where human and non-human agencies intertwine in seemingly inscrutable ways? This article introduces the method of o perational analysis to systematically observe and critically analyze such situated, interventional and multilayered entanglements. Against the background of ongoing efforts to develop operational models for understanding digital media, the method of operational analysis conceptually ascribes to media technologies a real efficacy by approaching them as adaptive mediators. As an operational middle-range approach, it allows to integrate theoretical discussions with considerations of the situatedness, directedness, and task-orientation of operational media. The article presents an analytical toolbox for observing and analyzing digital media operations while simultaneously testing it on a particular application in robotic radiosurgery.

scholarly journals Performance of Seven Consumer Sleep-Tracking Devices Compared with Polysomnography

SLEEP ◽  
2020 ◽  
Author(s):  
Evan D Chinoy ◽  
Joseph A Cuellar ◽  
Kirbie E Huwa ◽  
Jason T Jameson ◽  
Catherine H Watson ◽  
...  
Keyword(s):  
Performance Measures ◽  
Gold Standard ◽  
High Performance ◽  
Sleep Stage ◽  
Sleep Laboratory ◽  
Sleep Assessment ◽  
Sleep Condition ◽  
Different Populations ◽  
Tracking Devices ◽  
Better Than

Abstract Study Objectives Consumer sleep-tracking devices are widely used and becoming more technologically advanced, creating strong interest from researchers and clinicians for their possible use as alternatives to standard actigraphy. We therefore tested the performance of many of the latest consumer sleep-tracking devices, alongside actigraphy, versus the gold-standard sleep assessment technique, polysomnography (PSG). Methods In total, 34 healthy young adults (22 women; 28.1 ± 3.9 years, mean ± SD) were tested on three consecutive nights (including a disrupted sleep condition) in a sleep laboratory with PSG, along with actigraphy (Philips Respironics Actiwatch 2) and a subset of consumer sleep-tracking devices. Altogether, four wearable (Fatigue Science Readiband, Fitbit Alta HR, Garmin Fenix 5S, Garmin Vivosmart 3) and three non-wearable (EarlySense Live, ResMed S+, SleepScore Max) devices were tested. Sleep/wake summary and epoch-by-epoch agreement measures were compared with PSG. Results Most devices (Fatigue Science Readiband, Fitbit Alta HR, EarlySense Live, ResMed S+, SleepScore Max) performed as well as or better than actigraphy on sleep/wake performance measures, while the Garmin devices performed worse. Overall, epoch-by-epoch sensitivity was high (all ≥0.93), specificity was low-to-medium (0.18-0.54), sleep stage comparisons were mixed, and devices tended to perform worse on nights with poorer/disrupted sleep. Conclusions Consumer sleep-tracking devices exhibited high performance in detecting sleep, and most performed equivalent to (or better than) actigraphy in detecting wake. Device sleep stage assessments were inconsistent. Findings indicate that many newer sleep-tracking devices demonstrate promising performance for tracking sleep and wake. Devices should be tested in different populations and settings to further examine their wider validity and utility.

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