From Percent Flicker and Flicker Index to SVM, PstLM, and PAVM — rethinking the dynamic relationship between light and humans

For more than a decade, the LED lighting industry has commonly used the statement: “Our lights are flicker-free.”
But the real question is: What does “flicker-free” actually mean?
- Is it because camera sensors cannot capture visible banding?
- Is it because the human eye cannot perceive flicker?
- Is it because Percent Flicker is low?
- Is it because SVM is within limits?
- Or because PstLM passes compliance thresholds?
From the perspective of healthy lighting, human-centric lighting, and age-inclusive environments, the issue is far more complex than this.
Flicker should more precisely be understood within the framework of Temporal Light Modulation (TLM). It is not a single phenomenon, nor can it be defined by a single metric.
More importantly, flicker is not only a property of the light source itself. It is: the dynamic light exposure experienced by a person in a specific space, at a specific time, performing a specific activity, under a specific physiological and psychological state.
This is why next-generation healthy lighting cannot be limited to discussions of spectrum, illuminance, correlated color temperature, or color rendering index, nor even melanopic EDI / DER alone.
We must also incorporate the temporal quality of light into the system-level understanding of lighting.

1| Flicker is not a single phenomenon, but a set of phenomena
In the lighting industry, all temporal variations in light output are often broadly referred to as “flicker.” However, strictly speaking, variations in light output over time can lead to different types of human perceptual and physiological responses.
At minimum, these can be categorized into three major visual phenomena:
1. Direct Flicker: visible flicker
This is the most intuitive form of flicker. It refers to situations where the human eye directly perceives light as flashing, pulsing, or fluctuating.
This typically occurs under conditions such as:
- low frequency operation
- high modulation depth
- poor driver quality
- unstable dimming behavior
It most commonly leads to:
- visual discomfort
- eye strain
- attention disruption
- headaches
- adverse reactions in sensitive individuals
This layer is typically described using metrics such as Percent Flicker, Flicker Index, and PstLM / Mp.
2. Stroboscopic Effect: motion discontinuity perception
This is not perceived as flicker in the light itself, but rather as temporal distortion of moving objects. For example:
- fan blades appearing to stop or reverse
- hand movements appearing discontinuous
- rotating machinery appearing to change speed incorrectly
- motion trajectories appearing segmented
This is not only a comfort issue. In environments such as industrial facilities, healthcare, sports, kitchens, and laboratories, it can become a safety risk.
This layer is primarily described using SVM (Stroboskopische Sichtbarkeitsmessung).
3. Phantom Array Effect: spatial-temporal image splitting
This is a historically underestimated phenomenon. It typically occurs during rapid eye movements (saccades). Instead of fixating steadily on a light source, humans constantly move, scan, shift gaze, and change focus.
In such conditions, certain lighting systems—especially:
- high-intensity point sources
- linear LED luminaires
- vehicle headlights
- stage lighting
- retail display lighting
may produce the perception of multiple separated light images or streaks. This is known as the Phantom Array Effect.
It is particularly common in:
- high-brightness point sources
- exposed LED systems
- linear luminaires
- automotive lighting
- entertainment lighting
- retail environments
- outdoor nighttime lighting
- high-contrast visual scenes
In the latest TLM framework, this effect is increasingly quantified using PAVM (Phantom Array Visibility Measure).
This leads to a critical realization: Humans are not static lux meters. Humans move, scan, turn, fatigue, and respond to light in individualized ways.
2 | What do common flicker metrics actually represent?
Let us break down the main indicators.
1. Percent Flicker (modulation depth)
Percent Flicker is the most intuitive metric. It describes the relative difference between the maximum and minimum light output within a cycle.
In simple terms: the deeper the fluctuation, the higher the Percent Flicker.
If light output drops close to zero during a cycle, Percent Flicker becomes high. If light output remains nearly constant, Percent Flicker is low.
Its advantages:
- simple
- intuitive
- easy to interpret
However, its limitations are significant. It does not tell us:
- frequency of modulation
- waveform shape
- whether it is sine wave or PWM
- duty cycle characteristics
- perceptual visibility
- stroboscopic risk
- phantom array potential
- fatigue or headache risk
Therefore, Percent Flicker only answers: How deep is the fluctuation?
It does NOT answer: Is this fluctuation harmful or perceptible to humans?
These are fundamentally different questions.
2. Flicker Index
Flicker Index extends beyond Percent Flicker by considering the area under the waveform over time, relative to the average level.
This makes it more sensitive to:
- waveform shape
- duty cycle behavior
- PWM characteristics
- temporal distribution of light output
For example, two systems with identical Percent Flicker (e.g., 50%) may have very different perceptual impacts depending on whether the waveform is smooth (sine-like) or sharp (square-like).
Flicker Index can better capture these differences. However, it still does not represent full human response.
It does not incorporate:
- frequency-dependent visual sensitivity
- task-dependent perception
- motion-based stroboscopic effects
- eye-movement-related phantom array effects
- individual sensitivity differences
- long-term fatigue or neurological response
Thus, Flicker Index helps describe waveform quality, but cannot be directly equated with health risk.
3. Frequency
Frequency is a fundamental parameter in all TLM analysis.
It answers: How many times per second does the light fluctuate?
Measured in Hz. However, frequency alone is insufficient for risk assessment.
Because at the same frequency (e.g., 1,000 Hz):
- low modulation depth may be harmless
- high PWM modulation may still cause issues
- stationary viewing may reduce perception
- rapid scanning of bright sources may induce phantom array effects
- sensitive individuals may react differently
Therefore, frequency must always be interpreted together with:
- modulation depth
- waveform type
- duty cycle
- dimming level
- viewing condition
- task type
- population sensitivity
In other words: Frequency defines the time scale, but not the full human risk profile.
4. PstLM / Mp: direct flicker perception metrics
PstLM is used to describe short-term visible flicker perception (direct flicker).
It helps answer: Can a typical observer perceive flicker under given conditions?
In newer frameworks such as TM-39, Mp is also used for similar evaluation of direct flicker. Its key value is that it shifts analysis from purely physical waveform characteristics to human perception-based assessment.
However, it has limitations. It does not fully capture:
- motion discontinuity perception
- phantom array effects during eye movement
- migraine triggering potential
- long-duration fatigue effects
- cognitive load impact
- neurological responses (EEG/fMRI-level effects)
Thus, PstLM / Mp is essential for direct flicker assessment, but not sufficient as a complete human discomfort model.
5. SVM: stroboscopic visibility measure
SVM is designed to describe the visibility of stroboscopic effects.
It answers: Will moving objects appear discontinuous under this lighting?
It is critical in:
- manufacturing
- machining
- rotating machinery environments
- laboratories
- kitchens
- sports facilities
- medical procedure areas
- logistics and warehousing
- fast hand-motion tasks
Its importance is not whether light flickers, but whether motion perception is distorted. In environments with rotating machinery, stroboscopic effects can lead to misinterpretation of equipment motion, creating safety hazards.
However, SVM is not a universal indicator. It does not fully predict:
- phantom array effects
- headaches or migraine triggers
- long-term visual fatigue
- neurological sensitivity responses
- non-visual physiological effects
Therefore, SVM is a key metric for dynamic visual safety, but not a comprehensive “overall comfort score.”

6. PAVM: Phantom Array Visibility Measure
PAVM is a relatively recent and important development.
It corresponds to the Phantom Array Effect, which refers to the perception of multiple separated light images or streaks when the human eye moves—such as during saccades, scanning, or head rotation.
This type of effect has historically been underrecognized, largely because conventional testing assumes a stationary observer.
However, in real-world conditions, humans are never static. We constantly:
- walk
- turn our heads
- scan environments
- shift attention between near and far objects
- move between screens and lighting environments
- visually browse objects in retail spaces
- observe exhibits while in motion
- scan vehicle headlights at night
Therefore, PAVM addresses a critical gap in traditional flicker evaluation.
It is particularly relevant for assessing:
- retail environments
- exhibition and museum spaces
- stage and entertainment lighting
- high-brightness point sources
- automotive lighting
- linear luminaires
- outdoor nighttime lighting
- educational and medical environments
The emergence of PAVM highlights a fundamental shift: Flicker evaluation can no longer assume static viewing conditions. It must account for human motion, eye movement, and real behavioral patterns.
3 | Core differences between key metrics
We can summarize the relationships between the main indicators as follows:
| Metrics | Main Description | Layer Classification | Main Purpose | Maximum Limitations |
| Flimmeranteil | Depth of light wave fluctuations | Description of physical stimuli | Fast judgment of modulation degree | Does not consider frequency and human body perception |
| Flimmerindex | Waveform area and duty cycle | Description of physical stimuli | Determine waveform quality | Not a human response model |
| Frequency | Speed of light fluctuations | Time parameters | Determine time scale | Cannot judge risk individually |
| PstLM / Mp | Directly visible flicker | Visual response model | Direct Flicker | Does not cover SE / PAE / physiological discomfort |
| SVM | Jumping sensation of moving objects | Visual response model | Stroboscopic Effect | Not suitable for representing overall health risk |
| PAVM | Images separated by eye movement | Visual response model | Phantom Array Effect | Still mainly a visual model |
Therefore, we can draw a key conclusion:
Percent Flicker, Flicker Index, and Frequency describe the physical stimulus itself;
PstLM / Mp, SVM, and PAVM describe different layers of visual response;
but none of them alone can fully define human discomfort or neurological response.
4 | Why we cannot simply say “flicker-free”
The term “flicker-free” is fundamentally too vague.
When a product claims to be “flicker-free,” it should at minimum clarify:
- Is Percent Flicker very low?
- Is Flicker Index very low?
- Does it comply with PstLM requirements?
- Does it comply with SVM requirements?
- Has PAVM been measured?
- Was it tested at 100% output, or also at 10%, 20%, and 50% dimming levels?
- Is this based on single-luminaire testing or full spatial system testing?
- What dimming method is used—sine-wave, DC, PWM, or quasi-square waveform?
- Were sensitive populations considered, such as children, elderly users, or individuals prone to migraines or neurological sensitivity?
If these questions are not addressed, then “flicker-free” is merely a marketing phrase.
A genuinely professional statement should instead specify: Under defined output levels, defined dimming conditions, and defined control methods, the luminaire exhibits the following values: Percent Flicker, Flicker Index, Frequency, PstLM / Mp, SVM, and PAVM.
Only then can performance be verified, compared, and meaningfully applied in healthy lighting design.
5 | Flicker must be understood within the framework of “human × space × time × activity”
One of the most common mistakes in healthy lighting is reducing complex human responses to a single metric.
In the past, lighting was simplified into lux. Later, it became CCT. Then CRI.
Today, many people reduce healthy lighting to melanopic EDI.
But real-world conditions are not that simple.
Human-centric lighting must return to four dimensions: human × space × time × activity
Flicker should be understood in the same way.
1. Human: different people have different sensitivity to flicker
Not everyone responds to light in the same way. Under identical lighting conditions, some people may experience no issues, while others may report glare, irritation, headaches, or fatigue.
Groups that require special attention include:
Children and adolescents
They spend long hours in classrooms, tutoring centers, study desks, and screen-based environments.
Flicker may not always be explicitly reported, but it can manifest as:
- reduced attention
- reading fatigue
- visual discomfort
- irritability
- decreased learning efficiency
Classroom lighting should not be evaluated solely by illuminance levels. It must also consider whether light remains stable, especially under dimming conditions, and whether low TLM performance is maintained in real operation.
Office workers and sub-healthy populations
Many office workers already experience:
- dry eyes
- headaches
- sleep disruption
- neck and shoulder tension
- reduced attention
- visual fatigue
High temporal light modulation (TLM) in office environments may not be the sole cause, but it can act as an aggravating factor. This is particularly relevant in:
- open-plan offices
- smart lighting systems with adaptive dimming
- sensor-based control systems
- environments mixing multiple lighting brands and drivers
In such cases, system-level TLM management becomes essential.
Migraine-sensitive and neurologically sensitive individuals
These individuals may not only be sensitive to brightness, but also to:
- flicker
- high contrast
- bright point sources
- dynamic lighting changes
- phantom array effects
- visual noise
For them, lighting discomfort is often more pronounced and complex. Therefore, healthy lighting should not only be designed for the “average user,” but also for sensitive populations.
Elderly users
The issue for elderly populations is not simply “more light.” They generally require:
- stable illumination
- soft visual environments
- low glare
- low flicker
- safe dynamic perception
- non-disruptive nighttime lighting
In corridors, kitchens, staircases, bathrooms, and long-term care environments, both stroboscopic effects and phantom array effects can significantly impact safety and spatial perception.
Medical and long-term care populations
In healthcare environments, users are often in a vulnerable physiological and psychological state. They may experience:
- poor sleep
- anxiety
- fatigue
- pain
- increased sensitivity to environmental stimuli
In such contexts, light is not just illumination—it is part of the recovery environment.
Therefore, in addition to illuminance, glare, and spectrum, TLM must also be considered as part of lighting design in hospitals, wards, nursing stations, and rehabilitation spaces.
2. Space: single-luminaire compliance does not guarantee system compliance
Many flicker evaluations remain at the single-luminaire level. However, in real environments, people are not exposed to one lamp—they experience:
- multiple luminaires
- multiple angles
- multiple reflections
- multiple control circuits
- multiple drivers
- multiple dimming states
- multiple visual tasks
A single compliant luminaire does not guarantee a compliant space. For example:
- phase differences between luminaires
- beat frequency between different drivers
- waveform inconsistencies across dimming groups
- reflections amplifying high-brightness artifacts
- differences between eye-level exposure and desk-level measurements
- perceptual effects during walking or scanning (including PAE-related phenomena)
Therefore, future lighting acceptance testing should not rely solely on single-luminaire reports.
Instead, it should evaluate real spatial exposure, including:
- user eye-level conditions
- desktop plane conditions
- wall and surface reflections
- circulation paths
- lighting scenes and modes
- nighttime operation modes
- multi-luminaire simultaneous operation
- scene transitions
This marks the shift from “luminaire flicker” to “spatial TLM exposure.”
3. Time: flicker risk varies across operating conditions
Flicker should not be evaluated only at 100% output.
In practice, many LED systems exhibit their most problematic behavior under dimmed conditions, especially:
- 10% dimming
- 20% dimming
- low-level nighttime modes
- sensor-driven dimming systems
- scene switching events
- daylight harvesting adjustments
- standby modes
- emergency operation modes
- low-duty-cycle PWM control
This is why healthy lighting products must provide TLM performance data across multiple dimming levels—not just full output conditions.
Time also includes human biological timing. Morning, daytime, evening, nighttime, and pre-sleep conditions all require different lighting strategies. Nighttime healthy lighting should not be defined only by “low blue light.”
It should also ensure:
- low illuminance
- low glare
- low melanopic stimulation
- low TLM
- low visual stress
A truly sleep-friendly lighting environment is not just warm in color temperature—it is stable, low-stimulus, low-fluctuation, and low-disruption as a system.

4. Activity: different tasks require different flicker management
The same luminaire can present very different risk profiles depending on the activity. For example:
Reading
Key concerns:
- direct flicker
- eye fatigue
- attention interference
- long-term visual stability
Office work
Key concerns:
- interaction between display and lighting TLM
- long-duration visual load
- stability under dimming conditions
- risk of eye strain and headaches
Industrial environments
Key concerns:
- rotating machinery
- moving objects
- stroboscopic effects
- safety misperception risks
Healthcare environments
Key concerns:
- precision tasks
- patient sensitivity
- long working hours and fatigue
- nighttime lighting in care stations
Retail and exhibition spaces
Key concerns:
- high-brightness point sources
- rapid visual scanning
- phantom array effects
- balance between visual comfort and product presentation
Residential and hospitality environments
Key concerns:
- emotional comfort
- relaxation
- sleep preparation
- nighttime safety
- low visual stimulation
Therefore, healthy lighting should not be defined as “one scenario = one metric set,” but rather as a system where different activities require different lighting recipes.
6 | The real meaning for all-age and sub-healthy populations
All-age healthy lighting is not about making light brighter or warmer.
Its real purpose is to address: the integrated lighting needs of different ages, physiological states, spaces, times, and activities.
Within this framework, flicker management represents the temporal quality of light. If we define lighting functions as:
- illuminance → visibility (“can I see clearly?”)
- CCT → visual atmosphere (“what does the light feel like?”)
- CRI → color accuracy (“are colors rendered correctly?”)
- EDI / DER → spectral biological stimulus (“how does the spectrum interact with physiology?”)
Then TLM management addresses something different: whether light is stable, non-disruptive, and temporally compatible with human perception and physiology.
This is especially important for sub-healthy populations.
Because sub-health is rarely a single condition—it is a cluster of chronic stress factors, wie zum Beispiel:
- poor sleep
- eye fatigue
- mental tension
- headaches
- anxiety
- reduced attention
- heightened environmental sensitivity
In such states, every environmental stimulus can become a load.
Flicker, glare, high-intensity point sources, incorrect color temperature, and excessive nighttime stimulation can all accumulate into physiological stress.
Therefore, future healthy lighting should not only aim to be “bright” or “visually appealing,” but should instead focus on: a measurable, manageable, and verifiable low-burden lighting environment.
7 | What product development should look like
Future healthy lighting products should not only specify:
- power
- luminous flux
- color temperature
- CRI
- beam angle
- UGR
They should also clearly provide:
- Flimmeranteil
- Flimmerindex
- Frequency
- PstLM / Mp
- SVM
- PAVM
- waveform characteristics
- duty cycle
- dimming curve behavior
- driver ripple characteristics
- TLM performance at 100%, 50%, 20%, and 10% output levels
- performance under different control protocols
Especially for products claiming:
- gesundes Licht
- eye protection lighting
- learning environments
- sleep-friendly lighting
Full transparency of temporal behavior is essential. Because “flicker-free” is not a scientific endpoint.
A truly professional product should instead state: Under defined output conditions, control strategies, and application scenarios, the TLM-related risks are controlled within specified ranges.
8 | What lighting design practice should evolve into
Lighting design should not rely solely on illuminance calculations or photometric files.
A more complete data structure is required: Photometry + Spectrum + Alpha-opic + TLM Profile
A healthy lighting design dataset should include:
- photometric distribution data
- spectral power distribution (SPD)
- EDI / DER metrics
- CCT / Duv
- CRI / TM-30
- Flimmeranteil
- Flimmerindex
- Frequency
- PstLM / Mp
- SVM
- PAVM
- dimming states
- control profiles
- scene tags
Only with this level of integration can we begin to build a true digital twin of healthy lighting.
Not just simulating how bright a space is, but simulating: how a human actually experiences dynamic light exposure over time, across activities and spatial contexts.
9. How site acceptance testing should evolve
Commissioning should no longer be limited to single luminaires or desktop illuminance measurements.
Especially in schools, offices, healthcare facilities, long-term care environments, hotels, high-end residential projects, and industrial spaces, evaluation should progressively include:
- single-luminaire TLM
- multi-luminaire combined TLM
- eye-level user exposure TLM
- task plane TLM
- surface reflection TLM
- dimming-state TLM
- nighttime-mode TLM
- scene-transition TLM
- PAE risk during movement and scanning
- SVM risk under dynamic mechanical operation
This marks the transition from: “product compliance” → “spatial compliance”
It is a critical step in moving healthy lighting from concept to engineering verification.
10 | Next-generation healthy lighting: beyond spectrum, beyond flicker
The lighting industry has gone through several stages of evolution:
- from “having light” → “enough brightness”
- from “brightness” → “energy efficiency”
- from “efficiency” → “light quality”
- from “light quality” → “healthy lighting”
But today, healthy lighting cannot be reduced to isolated indicators. We cannot only talk about:
- high CRI
- low blue light
- no flicker
- high EDI
- full spectrum
- eye protection
- sleep support
These are all meaningful, but incomplete. The next step is to return lighting to real human life:
- What kind of person?
- In what kind of space?
- At what time?
- Performing what activity?
- In what physiological and psychological state?
- Receiving what spectral, spatial, temporal, and dynamic light exposure?
This is the true foundation of human-centric lighting.
Conclusion: stop asking only “is there flicker?”
We should stop asking: Does this light have flicker?
And instead begin asking: Under what frequency, waveform, dimming condition, spatial configuration, task context, and population sensitivity does this system produce direct flicker, stroboscopic effects, phantom array effects, and potential visual or physiological discomfort?
This is not overcomplicating the problem. It is clarifying it. Because humans are not static instruments. Spaces are not single-luminaire test setups. Time is not an average value. And activities are not abstract scenarios.
True healthy lighting must shift from static parameters to dynamic exposure:
- from spectrum → time
- from single luminaire → spatial system
- from average user → real human diversity
- from product metrics → lived experience
This is the direction flicker research must evolve toward.
And it is the challenge that next-generation healthy lighting, all-age lighting environments, and sub-healthy-friendly spaces must address.
Lawrence Industry Observation
I believe the healthy lighting industry is approaching a major inflection point.
One group of companies will continue to rely on marketing language, wie zum Beispiel:
- flackerfrei
- eye-friendly
- full-spectrum
- low blue light
Another group will move into engineering language, including:
- SPD
- EDI
- DER
- PstLM
- SVM
- PAVM
- dimming profiles
- spatial exposure models
And one step further, the real leaders will operate in a human-centric language framework: human × space × time × activity × individual sensitivity
This is the direction I have consistently emphasized. Healthy lighting is not about optimizing a single metric in isolation.
It is about building a lighting environment system that is:
- measurable
- verifiable
- manageable
- continuously optimizable
Within this system, flicker management is not optional. It is a fundamental component.
