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Fitness Wearables as Digital Evidence: Transforming More Than Waistlines

February 2023 • Source: Lars Daniel, EnCE, CCO CCPA, CTNS, CTA, CWA, CIPTS, Practice Leader of Digital Forensics, Envista Forensics

In today's modern world, fitness wearables are a valuable tool for anyone wanting to improve their performance and well-being and monitor their physical activity by offering a range of benefits.  The technology behind these devices is rapidly advancing, with sophisticated sensors that can track various biometrics, such as heart rate, sleep cycles, body temperature, respiration, and more.  All this information can be used to reveal actionable insights into our health and well-being, helping us better understand how we're performing when exercising and over time. 

The increased popularity and sophistication of fitness trackers increase their value as a potential source of digital evidence in many types of investigations, as these devices can provide forensic artifacts of when and wear something happened with surprising detail.  For example, in a personal injury case, data from a wearable might show whether a person was engaged in an activity that contributed to their injury, or it could be used to refute an alibi based on recorded and recovered location data.

In some cases, fitness wearables might even be able to detect when an accident is about to happen and send an alert to the user or emergency contacts.  Many of these devices already record medical events.  This type of data could inform investigators of a motor carrier accident in that the driver was not distracted by their phone but suffered a medical event, like a stroke. 

The data that is collected by fitness wearables can be divided into two main categories.  The first is biometric data, data derived from the physical characteristics and behavioral traits of an individual.  Second is location data, as fitness wearables utilize built-in location tracking technology, like GPS, and often compile that data with location data from the mobile phone associated with the fitness wearable. 

Biometric Data

Biometric data, such as heart rate, calorie burn, and sleep patterns, recorded by fitness wearables can provide insight into a person's health over time and during acute events.  This data can be used in legal proceedings as evidence to support claims of health changes or inconsistencies. When supported by other evidence, such as medical reports or expert testimony, biometric data can create a more accurate depiction of what occurred.  Utilizing digital forensic experts to collect the data in a way that protects it from spoliation and providing that data to the appropriate subject matter expert in a usable format is becoming more common.  For example, an expert in digital forensics could collect the data from a fitness wearable device and then provide the heart rate data to a cardiologist who can give an expert opinion. 

Biometric data from fitness wearables can be used in fraud investigations in several ways.  For example, comparing the data collected from activity trackers of a claimant's declared daily activity with their actual activity as recorded by their wearable device.  This helps insurers to detect fraudulent claims that involve physical activities which contradict declared levels of activity.  Furthermore, biometrics, such as heart rate and galvanic skin response (GSR, a measuring technique for the electrical conductance of the skin used to measure stress and anxiety levels), can be compared against declared levels of stress or anxiety, allowing for the detection of false claims for physical and psychological injuries.

Location Data

Location data, such as timestamps, speed, and movement patterns, can all be used in conjunction with other evidence to establish a stronger case narrative.  Location data recorded by fitness wearables can provide forensically reliable evidence useful for litigation.  This data can be used to corroborate alibis, prove the presence or absence of a person at a scene, or refute the veracity of an individual's testimony.

If a claimant has stated that they are not physically active but then their fitness wearable shows regular running activity, this could indicate fraud.  As an example, an insurance company's Special Investigation Unit (SIU) reached out to Envista’s digital forensics experts with suspicions that the claimant was being dishonest about a specific incident, and what we uncovered proved their doubts correct.  Despite the claimant insisting they had stayed in one place all night, data from their fitness wearable revealed them having traveled nearly six miles over the period in question.

Data Repositories

This talk of location and biometric data is important to note, but it begs the questions, “how do I get my hands on this data?” and “what about deleted data?” 

Fitness wearables collect data from their users regarding their activity levels, location, and other metrics.  This data is stored on the device's internal memory and then transmitted to data repositories, such as online accounts and mobile phone applications.  This means that even if the device is damaged, deleted data can still be recovered from the cloud, the mobile phone associated with the device, or the fitness wearable itself by utilizing digital forensic techniques, such as chip-off forensics and forensic extractions. 

Even if the device is operational and without damage, there can be deleted data residing in storage areas on the wearable or mobile device associated with it.  In other words, a digital forensic expert can utilize specialized forensic hardware and software to recover data that has been "lost" in the normal operation of the device or deleted intentionally or unintentionally by the claimant.

The Future of Lifestyle Analysis

As we have seen, location and biometric data collected from fitness wearables are not limited to physical activity alone.  They provide vital insight into many other aspects of health, such as sleep quality and duration, heart rate variability (HRV), caloric intake/burn rate, and more.  It is common for a user to have months’ or years’ worth of data recorded by fitness wearables existing in their online accounts and mobile applications. 

The extensive data recorded about a user over long periods make this data of special interest when performing a lifestyle analysis.  A lifestyle analysis investigation is a type of investigation which looks at a person's daily activities and habits as evidence. Call detail records (CDRs), a kind of super phone bill, from mobile phones are often used to aid in these investigations, as they can provide useful insights into a person's whereabouts and activities over time.  These records are used to link together pieces of evidence and better understand the custodian's behavior and relevant patterns of activity.

Compared to the data collected by fitness wearables, current lifestyle analysis investigations using CDRs alone is rather rudimentary.  Fitness wearable data can provide a more detailed picture of an individual’s lifestyle and behavior, and when used in combination with other evidence, provides investigators with even greater insight into the custodian's activities, intentions, and state of mind. 

The Widespread of Fitness Wearables

Attorneys and claims professionals should be aware of the potential implications that fitness wearable data can have if used correctly.  This type of evidence provides valuable insight into an individual's actions surrounding the event in question.  It also has the potential to provide relevant data concerning their state of mind leading up to it.  

Digital forensic experts can help ensure that the data collected from fitness trackers and wearable technology devices are collected in a way that protects them from spoliation and can assist in making sense of the data by providing it to an appropriate subject matter expert in a usable format. 

As technology advances, fitness wearables will continue to become a larger part of our lives and provide increasingly useful evidence for investigations.  The widespread use of these devices means that more individuals are wearing them regularly than ever before, potentially turning small moments into tangible pieces of evidence that could prove crucial to resolving a case.

 

Clarifying TBI Claims with Social Media & Video Deposition

February 2023 • Source: Marci DeVries-Todtz, Fraudsniffr

TBI is a costly, frequently reported injury that is difficult to quantify for compensability. In the last five years, new methods have emerged that modernize quantification, saving time and money in the process. We will explore these new as well as other proven defense tactics.

The newest and most time-efficient TBI "truth-teller" is a thorough review of the plaintiff's social media profile(s). Consider this: TBI symptoms include insomnia, confusion, irritation by light/sound, mood changes, irritation with changes in routine, and inability to perform routine tasks in a consistent manner. An active social media profile will provide deep insight into the plaintiff's ability to organize thoughts, participate in online "challenges" (TikTok dance challenges, for example), issues with insomnia, details about weekend trips or elaborate vacations, family get-togethers, parties, and other social events. Additionally, the content is provided alongside labeled photographic evidence.

TBI plaintiffs are also frequently found online starting a recreational
sports league, participating in a PTA/School board role or even starting a business - all of which are advertised in social media to drum up
participation, drive traffic to an e-commerce site, or provide directions to
a pop-up store location.

Once these activities are discovered in social media, formal discovery can be pursued. Additionally, given the near 100% admissibility of social media in court, this is a logical and inexpensive place to start.

The use of video depositions is also important as a next step. Asking multiple, specific questions about treatment, drugs, and dosage is strategic; Often the deponent is so concerned about how they present on video that they forget a TBI is supposed to interfere with their memory.

Once current activity level is determined in social media or through
deposition, it's time to look back at the original TBI diagnosis.

Develop a strong argument based on Differential Diagnosis.

Differential Diagnosis proposes that, for every symptom claimed, one should look for other causes of the symptom and let common sense dictate which cause is most likely.

Proven methods for accomplishing Differential Diagnosis in today's "I think it therefore I have it" legal environment, include examining plaintiff's records in two key areas:

  • Employment records/performance - Has discipline been part of the employee's employment folder before and after the DOI?
  • Military records - If available, they give a detailed history of performance and injuries while in the service.

Next, consider the culture the initial testing/treatment was developed in. Often, when testing for TBI, the forgone conclusion is that there is one. Testing using a checklist is invalid as it does not test for presence of an injury - it only measures for severity, which may lead to a false positive. Studies at the VA showed how, even in an environment where no secondary gain agenda is present, 50-70% of the evaluations performed failed the validity test.

Finally, once you have contrasting explanations for the claimed symptoms, meet with the entire team: the neuropsychologist, radiologist, medical doctor, and vocational counselor to discuss develop key factors related to the cost drivers in the claim:

  • Was the minor brain bleed significant enough to cause lasting impairment?
  • Is the claimant cognitive function decreased as compared to baseline studies based on pre-DOI baseline?
  • What are the jobs available in the market and is the plaintiff able to do any of them?

Once the information is available, defense counsel will have a clear road map; who should ongoing discovery focus on, which line of questioning to take, and what are the appropriate next steps for the case.

 

Security in Bars and the Forseeability of Assaults

February 2023 • Source: Exigent

As the hospitality industry emerges from the COVID-19 shutdown, it once again will be faced with the issue of dealing with the foreseeability of crime, most notably assaults, inside and outside alcohol-service establishments.

Read the Full Article
 

Motorcycle Safety and Advanced Rider Assistance Systems (ARAS)

February 2023 • Sources:

  • Chason J. Coelho, Ph.D., CSP, CFI, Senior Managing Scientist, Human Factors, Exponent
  • Jordan D. Bailey, Ph.D., BCBA, Scientist, Human Factors, Exponent
  • Todd A. Frank, P.E., Senior Managing Engineer, Vehicle Engineering, Exponent
  • Iiona D. Scully, Ph.D., Senior Scientist, Human Factors, Exponent
  • David M. Cades, Ph.D., Principal Scientist, Human Factors, Exponent

Introduction

Advanced driver assistance systems (ADAS), such as adaptive cruise control (ACC), automatic emergency braking (AEB), and blind-spot monitoring (BSM) for passenger vehicles are becoming ubiquitous, with some features being standard on vehicles.1 The same has not been true for motorcycles. However, analogous advanced rider assistance systems (ARAS) have been introduced, and the ARAS market is expected to grow significantly in the coming years.2 ARAS are equipment that support and assist the motorcycle operator and may also reduce stress and strain; ARAS are intended as means of supporting accident mitigation and may help reduce harmful energy involved during pre-crash phases.3 Questions of interest for the current article are: why might there be a lag in ARAS implementation, and what implications might the answers have for incident examinations and claims?

Passenger Vehicles and Motorcycles

To address these questions, it helps to first acknowledge pertinent differences between passenger vehicles and motorcycles. Passenger vehicles are typically manufactured with passenger restraint systems, whereas most motorcycles are not. Most passenger vehicles are steered by a driver using a steering wheel, whereas motorcycles achieve maneuvering through a combination of counter-steering and a rider and motorcycle leaning in intended directions of travel, especially at higher speeds. Motorcycles tend to have more pronounced movements of pitch (forward/backward), roll (lean left/right), and yaw (clockwise/counterclockwise) than passenger vehicles.4 The body of a rider is also typically more involved in achieving these vehicle dynamics.5 Though not exhaustive, these observations highlight some engineering and human factors differences that may present challenges for the implementation of ARAS.

Engineering and Human Factors Challenges

A notable engineering challenge concerns radar-based detection of objects on the road. Greater dynamic pitch, roll, and yaw movements can constrain radar projections, and the effectiveness of radar can be reduced when the motorcycle is leaned and during other riding phases due to vibrations.6,7 For these reasons and others, ARAS implementation by motorcycle manufacturers, at this point, has been limited mainly to ACC and BSM.8 It should be noted, however, that development of helmet-based ARAS technologies has made significant progress; the main goals of these “smart helmet” features are to provide riders with blind spot, rear, and front collision indications via head-up visual displays and/or auditory alerts.

1 Akamatsu et al., 2013; IIHS, 2016
2 The acronym “ARAS” includes the term “rider,” but this article uses the term “operator” to refer to an individual actively operating a motorcycle as opposed to riding as a passenger.
3 Kuschefski et al., 2010
4 https://www.sae.org/news/2020/07/bmw-details-new-motorcycle-adaptive-cruise-control
5 https://www.sae.org/news/2021/02/motorcycles-enter-the-adas-age
6 https://www.sae.org/news/2020/07/bmw-details-new-motorcycle-adaptive-cruise-control
7 https://www.sae.org/news/2021/02/motorcycles-enter-the-adas-age
8 https://www.sae.org/news/2021/02/motorcycles-enter-the-adas-age


Given the interest in advanced motorcycle safety technologies, a more in-depth review of human factors challenges for ARAS has recently been provided.9 One general issue is that ARAS may produce unique or unexpected riding situations that may impact rider performance.10 As Coelho et al. (in press) point out, riders keep themselves aboard, at least in part, by grasping the handlebars, bracing the motorcycle with their legs, and keeping their center of mass in the appropriate position. Combined with the fact that there are usually no passenger restraints, these observations mean that abrupt unexpected changes in the orientation and/or dynamics of the motorcycle, such as through application of motorcycle AEB, could result in control problems, rider separation from the motorcycle, or both. Thus, pertinent issues include the degrees to which the ARAS technology can predict and/or detect the state of the rider and the degrees to which the rider can predict and/or detect and respond to the assistive actions on the motorcycle.

Other more specific scientific issues involved with ARAS include operator acceptability, trust, attention, warnings perception, and learning. One promising feature concerns the ratio of sight distance (i.e., how far away the operator is looking along the path of travel) to stopping distance (i.e., operator perception-reaction time plus braking distance). This ratio has been identified as a critical variable for motorcycle operator safety because operators can override their sight distance, especially when attention drifts.11 When attention drifts, operators may not attend to upcoming curves or hazards in front of them. ARAS such as CW systems may help bring attention back to the task, and CW systems have been shown to help some operators adapt to curves earlier than other riders.12 ARAS holds promise for not only alerting operators to such overriding in the moment but also for helping them better understand and predict the limitations of their vehicles and of themselves. Indeed, the potential for ARAS to assist the operator in on-road hazard detection and reduction of instances of sight-distance overriding is an exciting advance in assistive motorcycle technologies. A likely path for this advance, at least initially, is through effective multimodal ARAS warnings; this suggestion is supported by evidence that such warnings may be helpful in car and motorcycle assistive technology contexts.13

Implications for Examinations and Claims

With the proliferation of ADAS there has been an increase in claims and lawsuits alleging either that unequipped vehicles should have been or that vehicles equipped with ADAS should have performed differently. There have also been allegations that aspects of the human interaction with ADAS technology may have contributed to the incident. Allegations can center on false or unintentional activation of ADAS features and on problems with a driver responding to signals from the technology. Areas of inquiry in these matters are often whether and how the system provided assistance when the driver did not intend or expect it to and whether and how the system became engaged or disengaged with or without the driver noticing. Other questions involve whether a manufacturer should have provided ADAS that functioned in a specific way or with specific warning or intervention timing or how ADAS indications are presented in terms of sensory modality, such as through vision, audition, or touch, and in terms of physical characteristics, such as frequency, duration, and intensity.

9 Coelho et al., in press
10 Diederichs et al., 2020
11 Smith et al., 2013
12 Huth et al., 2012
13 e.g., Savino et al., 2020; Valtolina et al., 2011


There is no reason to believe that this situation will be any different in ARAS-related incidents. And there may well be important nuances of assistive technologies for motorcycle operators that render the above complaints unique. For instance, more pronounced vehicle dynamics of motorcycles combined with more extensive involvement of the rider in those dynamics may have implications for allegations that an ARAS feature presented a challenging transition from a situation where the assistive system was operating to one where a rider may have needed to respond. Addressing this issue will undoubtedly require additional complex analyses of human performance and vehicle dynamics issues, such as rider attention to the state of the motorcycle and perceptual-motor controllability, as well as whether and how the ARAS is capable of monitoring or predicting the state of the rider and of the vehicle at the same time.
The relatively small number of ARAS-equipped motorcycles may make allegations related to standards of care unlikely in the short term, but it is reasonable to expect the frequency of these questions to increase rapidly as research, development, and adoption of ARAS become more widespread, and as evaluative test criteria and standards are further developed. Similarly, the available ARAS features are currently limited, but as the number of features grows and the levels of rider assistance from those features increase, allegations pertaining to human performance capabilities and limitations, and other human factors issues, could be expected to increase commensurately. The same should apply to the indications and feedback the ARAS present to the rider, which may be made more complex due to issues such as limited dash and instrumentation real estate to present visual feedback and challenges of rendering auditory and tactile information to a rider who is more exposed to other environmental stimuli than the driver of a typical passenger car.14

Closing Remarks

In conclusion, there seems to be an emerging consensus that widespread implementation and adoption of ARAS is not a matter of “if” but a matter of “when.” Moreover, the engineering and scientific questions will likely be similar to some of the ADAS-related questions that have arisen, but will also likely be somewhat novel due to unique characteristics of motorcycling. The unique issues of ARAS incident examination will certainly call for thorough understandings of human-machine interaction and motorcycle vehicle dynamics.

14 Kuschefski et al., 2010; Pieve et al., 2009


References

Akamatsu, M., Green, P., & Bengler, K. (2013). Automotive technology and human factors research: Past, present, and future. International Journal of Vehicular Technology, 1-28.

Coelho, C. J., Garets, S. B., Bailey, J. D., Frank, T. A., Scully, I. D., & Cades, D. M. (in press). Human factors issues of advanced rider assistance systems. 14th International Conference on Applied Human Factors and Ergonomics, San Francisco, CA, United States.

Diederichs, F., Knauss, A., Wilbrink, M., Lilis, Y., Chrysochoou, E., Anund, A., Bekiaris, E., Nikolaou, S., Finér, S., Zanovello, L., Maroudis, P., Krupenia, S., Absér, A., Dimokas, N., Apoy, C., Karlsson, J., Larsson, A., Zidianakis, E., Efa, A., … Bischoff, S. (2020). Adaptive transitions for automation in cars, trucks, buses and motorcycles. IET Intelligent Transport Systems, 14(8), 889–899. https://doi.org/10.1049/iet-its.2018.5342

Huth, V., Biral, F., Martín, Ó., & Lot, R., 2012. Comparison of two warning concepts of an intelligent Curve Warning system for motorcyclists in a simulator study. Accident Analysis & Prevention, 44(1), 118-125. https://doi.org/10.1016/j.aap.2011.04.023

Kuschefski, A., Haasper, M., & Vallese, A. (2009). Advanced rider assistance systems for powered two-wheelers (ARAS-PTW). https://www-esv.nhtsa.dot.gov/Proceedings/22/files/22ESV-000123.pdf

Pieve, M., Tesauri, F., & Spadoni, A. (2009, May). Mitigation accident risk in powered two wheelers domain: Improving effectiveness of human machine interface collision avoidance system in two wheelers. In 2009 2nd Conference on Human System Interactions (pp. 603-607). IEEE.

Smith, T., Garets, S., & Cicchino, J. (2013). The effect of sight distance training on the visual scanning of motorcycle riders: A preliminary look. (Report No. DOT HS 811 689). Washington, DC: National Highway Traffic Safety Administration.

 

 

Eric Clark Begins His Term as President of Oklahoma's Premier Civil Defense Attorney Group

January 2023   Source: Rhodes, Hieronymus, Jones, Tucker & Gable, PLLC

Rhodes, Hieronymus, Jones, Tucker & Gable, PLLC is pleased to announce that Eric Clark will be the President of the Oklahoma Association of Defense Counsel (OADC) for the years 2023-2024.  Started almost sixty years ago, OADC is composed of Oklahoma attorneys who devote a substantial amount of their professional time to the handling of litigated civil cases for the defense.  Eric has served on the Executive Board for the past seven years in various roles, including as the Chair of the Sponsorship Committee for three years and as the Secretary and Vice President.  Eric’s leadership has focused on the professional development of young lawyers interested in insurance defense. He recently created and planned a new conference for the education and development of young civil defense lawyers. Through the efforts of his Committee, enough money was raised to fund the attendance of all who wished to go. The two-day conference was held at the Hard Rock Hotel and Casino in Tulsa.

 
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