scholarly journals Outliers in Smartphone Sensor Data Reveal Outliers in Daily Happiness

2021 ◽  
Vol 5 (1) ◽  
pp. 1-19
Author(s):  
Teodora Sandra Buda ◽  
Mohammed Khwaja ◽  
Aleksandar Matic
Keyword(s):  
Emotional State ◽  
Extreme Values ◽  
Ground Truth ◽  
Well Being ◽  
Sensor Data ◽  
New Approach ◽  
Performance Improvements ◽  
Limited Sensing ◽  
Smartphone Sensor ◽  
Ground Truth Information

Enabling smartphones to understand our emotional well-being provides the potential to create personalised applications and highly responsive interfaces. However, this is by no means a trivial task - subjectivity in reporting emotions impacts the reliability of ground-truth information whereas smartphones, unlike specialised wearables, have limited sensing capabilities. In this paper, we propose a new approach that advances emotional state prediction by extracting outlier-based features and by mitigating the subjectivity in capturing ground-truth information. We utilised this approach in a distinctive and challenging use case - happiness detection - and we demonstrated prediction performance improvements of up to 13% in AUC and 27% in F-score compared to the traditional modelling approaches. The results indicate that extreme values (i.e. outliers) of sensor readings mirror extreme values in the reported happiness levels. Furthermore, we showed that this approach is more robust in replicating the prediction model in completely new experimental settings.

scholarly journals MEDICINAL HERBS AND PHYTOCHEMICALS USED IN THE TREATMENT OF DEPRESSION: A REVIEW

2019 ◽  
pp. 8-14
Author(s):  
APOORVA HA ◽  
SEEMA MEHDI ◽  
KRISHNA KL ◽  
NABEEL K
Keyword(s):  
Side Effects ◽  
Adverse Effects ◽  
Clinical Evidence ◽  
Emotional State ◽  
Well Being ◽  
New Approach ◽  
Treatment Of Depression ◽  
Primary Hypothesis ◽  
The Brain ◽  
Additional Option

Depression is a condition of no mood and loss of interest in any activity that can diminish a person’s thinking, conduct, tendencies, emotional state, and a sense of well-being. Although there is a conventional class of medication which have been beneficial in the treatment of depression, current studies have reported having side effects which can be minimized by the intervention of herbs and phytochemicals. Most of the studies have proven the various mechanisms and have started to research a very ground-breaking method by glancing the ancient treatmen. Where this new approach of using the herbs and phytochemicals has shown better results alone and in combination with conventional drugs which has shown lesser adverse effects. The practice of phytomedicine is an additional option for the treatment of depression. In the various segments of treating the depression, the mainstream can be a breakthrough including phytoconstituents. In this aspect, there are many contributions for the treatment of the depression acting to the neuronal level signaling and the phytoconstituents also have shown some basic mechanisms in the treatment of depression as that of the conventional medications following some primary hypothesis and signaling pathways and life interactions that effects the brain in either way to treat the depression in all sort of way. Clinical evidence is required to provide backing to the safety and effectiveness of herbs and phytochemicals alone or in combination with currently available drugs to overcome the reported side effects during the treatment of depression.

scholarly journals P122 Comparison of sleep estimation using Apple Watch accelerometry against polysomnography

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A61-A61
Author(s):  
S Roomkham ◽  
D Lovell ◽  
I Szollosi ◽  
D Perrin
Keyword(s):  
Lower Cost ◽  
Total Sleep Time ◽  
Ground Truth ◽  
Well Being ◽  
Sleep Time ◽  
Sensor Data ◽  
Accelerometer Data ◽  
Respiratory Events ◽  
Sleep Parameters ◽  
Health And Well Being

Abstract Introduction Consumer wearables offer new ways to improve our health and well-being, including sleep. Researchers are interested in consumer wearables because their widespread adoption creates the potential for larger studies than could be run with clinically validated measurement methods, as those are more expensive or less convenient. This study investigates sleep tracking using sensor data from Apple Watch in comparison to the gold standard polysomnography (PSG). Method We used Apple Watch accelerometer data to establish both activity and heart rate (using ballistocardiography). Thirty participants (13 female, 17 male) wore the Apple Watch on their non-dominant wrist during clinical PSG. We compared predicted sleep status at the epoch level and overall sleep parameters, taking PSG as the ground truth. Results Our method achieved sleep-wake classification accuracy of 84%, sensitivity of 95%, and specificity of 47%. Apple Watch overestimated total sleep time (mean+SD) by 39.4 + 57.7 mins, underestimated WASO by 45.5 + 54.6 mins and the number of awakenings by 5.0 + 6.9. We observed worse performance for participants who had PSGs exhibiting frequent respiratory events. Discussion Accelerometry cannot replace PSG for diagnostic purposes. However, the Apple Watch results compare favourably to previously published Actiwatch-PSG comparisons. The performance we measured suggests that Apple Watch based accelerometry could be used in longitudinal studies to gather information similar to clinically validated accelerometers, potentially on a larger scale for lower cost. Further study is needed to understand how sleep disorders affect this kind of measurement.

Smartphone tilt as a measure of well-being? Evidence from two experience sampling studies (Preprint)

2021 ◽  
Author(s):  
Tim Kuhlmann ◽  
Ulf-Dietrich Reips
Keyword(s):  
Experience Sampling ◽  
Well Being ◽  
Self Report ◽  
Sensor Data ◽  
Subjective Well Being ◽  
Sampling Studies ◽  
In The Wild ◽  
Report Data ◽  
Self Report Data ◽  
Smartphone Sensor

BACKGROUND Smartphone usage is increasing around the globe. Smartphones offer considerable opportunities to researchers implementing experience sampling designs. Besides convenient gathering of self-report data, the availability of objective sensor data promises advantages for data collection. OBJECTIVE Previous research has shown the relation between body posture and well-being as well as an association between smartphone sensor data and posture. We investigated the association of the smartphone’s objective tilt measure with self-reported well-being in the field. METHODS Two experience sampling studies with 98 and 261 participants were conducted. They included self-reported measures of well-being and objective sensor gathered at the same points in time. The sample included Android and iOS smartphones. RESULTS Results of Study 1 show a within-person association between deviation from the usual tilt and well-being, t(3392)=-3.9, p<.001, d=.13. In Study 2 this association was only shown for Android users, t(3389)=-2.20, p=.03, d=.08, but not for iOS users. Comparison of the groups did reveal differences in the distribution of the sensor measured tilt. CONCLUSIONS An association between subjective well-being and smartphone sensor data was shown, but not consistently across devices and studies. Possible explanations for the differing results by smartphone platform include heterogeneity of the hardware implemented and differences in the software sensor values. Advice on precautions to consider when implementing app studies on differing devices and platforms in the wild are given. Implications for future studies, including objective validation of sensor data, are also discussed.

Evaluation of Commercial Truck Parking Detection for Rest Areas

2018 ◽  
Vol 2672 (9) ◽  
pp. 141-151
Author(s):  
Wei Sun ◽  
Ethan Stoop ◽  
Scott S. Washburn
Keyword(s):  
Software Tool ◽  
Vehicle Detection ◽  
Ground Truth ◽  
Early Morning ◽  
Video Data ◽  
Sensor Data ◽  
Parking Space ◽  
Ground Truth Data ◽  
Detection Technology ◽  
Rest Areas

Florida’s interstate rest areas are heavily utilized by commercial trucks for overnight parking. Many of these rest areas regularly experience 100% utilization of available commercial truck parking spaces during the evening and early-morning hours. Being able to communicate availability of commercial truck parking space to drivers in advance of arriving at a rest area would reduce unnecessary stops at full rest areas as well as driver anxiety. In order to do this, it is critical to implement a vehicle detection technology to reflect the parking status of the rest area correctly. The objective of this project was to evaluate three different wireless in-pavement vehicle detection technologies as applied to commercial truck parking at interstate rest areas. This paper mainly focuses on the following aspects: (a) accuracy of the vehicle detection in parking spaces, (b) installation, setup, and maintenance of the vehicle detection technology, and (c) truck parking trends at the rest area study site. The final project report includes a more detailed summary of the evaluation. The research team recorded video of the rest areas as the ground-truth data and developed a software tool to compare the video data with the parking sensor data. Two accuracy tests (event accuracy and occupancy accuracy) were conducted to evaluate each sensor’s ability to reflect the status of each parking space correctly. Overall, it was found that all three technologies performed well, with accuracy rates of 95% or better for both tests. This result suggests that, for implementation, pricing, and/or maintenance issues may be more significant factors for the choice of technology.

A new approach to evaluating the well-being of PhD research students

2012 ◽  
Vol 37 (5) ◽  
pp. 563-576 ◽  
Author(s):  
Bridget Juniper ◽  
Elaine Walsh ◽  
Alan Richardson ◽  
Bernard Morley
Keyword(s):  
Well Being ◽  
New Approach ◽  
Research Students

Solution Focused Brief Therapy: Establishing Goals and Assessing Competence

1994 ◽  
Vol 57 (3) ◽  
pp. 95-98 ◽  
Author(s):  
Chris Iveson
Keyword(s):  
Risk Assessment ◽  
Suicide Risk ◽  
Brief Therapy ◽  
Memory Loss ◽  
Occupational Therapists ◽  
Well Being ◽  
Suicide Risk Assessment ◽  
New Approach ◽  
Solution Focused Brief Therapy ◽  
Solution Focused

A new approach to counselling, solution focused brief therapy, is based on assumptions of client well-being which are very close to those underlying the work of occupational therapists. Two cases, one of memory loss and one of suicide risk assessment, are used to illustrate the principles of brief therapy translated into everyday practice.

scholarly journals SOCIO-CULTURAL ASPECT OF INCLUSIVE EDUCATION

2021 ◽  
pp. 118-124
Author(s):  
Сергей Николаевич Махновец
Keyword(s):  
Inclusive Education ◽  
Emotional State ◽  
Well Being ◽  
Self Esteem ◽  
Cultural Aspect

Представлены смысловые доминанты инклюзивного образования. Показано, что моральное благополучие человека (ребенка в особенности), его самооценка и - соответственно - эмоциональное состояние связаны с феноменом «принятия». Раскрыты проблемы, возникающие в практике реализации инклюзивного образования, и представлены некоторые подходы к их решению The semantic dominants of inclusive education are presented. It is shown that the moral well-being of a person (especially a child), his self-esteem and, accordingly, the emotional state is associated with the phenomenon of«acceptance». The problems that arise in the practice of implementing inclusiveeducation are revealed and some approaches to solving them are presented.

BYANJON: A Ground Truth Preparation System for Online Handwritten Bangla Documents

2021 ◽  
Vol 20 (6) ◽  
pp. 1-16
Author(s):  
Shibaprasad Sen ◽  
Ankan Bhattacharyya ◽  
Ram Sarkar ◽  
Kaushik Roy
Keyword(s):  
Extraction Procedure ◽  
Ground Truth ◽  
Word Segmentation ◽  
Text Line ◽  
Line Extraction ◽  
Manual Intervention ◽  
Ground Truth Generation ◽  
Class Labels ◽  
Text Line Extraction ◽  
Ground Truth Information

The work reported in this article deals with the ground truth generation scheme for online handwritten Bangla documents at text-line, word, and stroke levels. The aim of the proposed scheme is twofold: firstly, to build a document level database so that future researchers can use the database to do research in this field. Secondly, the ground truth information will help other researchers to evaluate the performance of their algorithms developed for text-line extraction, word extraction, word segmentation, stroke recognition, and word recognition. The reported ground truth generation scheme starts with text-line extraction from the online handwritten Bangla documents, then words extraction from the text-lines, and finally segmentation of those words into basic strokes. After word segmentation, the basic strokes are assigned appropriate class labels by using modified distance-based feature extraction procedure and the MLP ( Multi-layer Perceptron ) classifier. The Unicode for the words are then generated from the sequence of stroke labels. XML files are used to store the stroke, word, and text-line levels ground truth information for the corresponding documents. The proposed system is semi-automatic and each step such as text-line extraction, word extraction, word segmentation, and stroke recognition has been implemented by using different algorithms. Thus, the proposed ground truth generation procedure minimizes huge manual intervention by reducing the number of mouse clicks required to extract text-lines, words from the document, and segment the words into basic strokes. The integrated stroke recognition module also helps to minimize the manual labor needed to assign appropriate stroke labels. The freely available and can be accessed at https://byanjon.herokuapp.com/ .

Sign in / Sign up

Export Citation Format

Share Document