Introduction
Walking and running are distinct forms of human locomotion and have recently gained widespread popularity as physical activities for health and fitness [
1,
2]. They are natural and accessible movements suitable for all individuals [
3,
4]. According to the 2024 Korea Wellness Report, walking and strolling were the most frequently performed physical activities, accounting for 59.1% of responses [
4,
5]. Outdoor activities such as running, jogging, and hiking ranked third at 33.7%, closely following home training (33.8%). Walking and running are not trends restricted to specific groups or time periods, but are universal activities transcending generations and nations [
4,
6].
These activities require the coordination of over one hundred skeletal muscles and multiple joints in both the upper and lower limbs, as well as synchronization with other physiological functions such as breathing and cardiac activity [
3,
7]. Particularly, the method of foot contact with the ground, whether heel, midfoot, or forefoot, affects muscle usage and the magnitude of ground reaction forces. Difference in these footfall patterns during walking and running influence biomechanical responses, yet research focusing on these factors outside of performance contexts remains limited.
This study investigates differences in lower limb joint ROM, muscle activation, and plantar pressure during walking and running according to footfall method. IMU sensors, Paddle pressure sensors, and EMG were used to analyze joint movement and muscle contraction, and to measure foot pressure for assessing weight distribution. Despite the limited sample size, the findings provide insights into biomechanical differences induced by various footfall strategies.
Methods
Participants
Three female students attending a university in Seoul were recruited. Their mean age was 22.6 years (± 1.3), height was 162.6 cm (± 2.8), and weight was 53.4 kg (± 2.4).
Equipment
To assess differences in walking and running mechanics, IMU sensors, Paddle pressure sensors, and EMG devices were used. Participants wore short shorts and no undergarments to facilitate accurate electrode placement. Skin preparation was performed using razors and alcohol swabs. IMU sensors were attached to the hip, knee, and ankle joints. EMG electrodes were attached to the rectus femoris, biceps femoris, tibialis anterior, and gastrocnemius muscles.
Procedure
Participants performed walking and running trials on a treadmill for two minutes each. Walking trials included heel contact and midfoot contact conditions, while running trials included forefoot contact and midfoot contact. Walking speed was set at 3 km/h and running at 7.5 km/h, adjusted to participants’ stride length and fitness level.
Results
Plantar Pressure
Plantar pressure values varied depending on both gait type and footfall pattern <
Table 1>. During walking, heel contact produced greater foot forces than midfoot contact. Specifically, the right foot during heel contact walking recorded the highest peak force of 843 N, and an average of 312 N, compared to 774 N (max) and 302 N (average) in midfoot walking.
During running, midfoot contact showed the highest maximum force, reaching 1010 N on the left foot. In contrast, forefoot contact during running recorded a lower maximum of 666 N. Average plantar forces during running remained relatively stable across both footfall patterns and between left and right sides, with values ranging from 289 N to 303 N. These observations indicate more forceful but potentially more evenly distributed loading in midfoot running.
Electromyography (EMG)
The text continues here.
Muscle activation levels, assessed through integrated EMG values (iEMG), were generally higher in running than in walking across all conditions <
Table 2>. During walking, the tibialis anterior showed the highest activation, particularly during midfoot contact on the right side, which recorded 886.0 mV⋅s. Heel contact in walking elicited relatively balanced activation across the four muscles, with rectus femoris at 154.2 mV⋅s, biceps femoris at 157.3 mV⋅s, tibialis anterior at 736.8 mV⋅s, and gastrocnemius at 516.3 mV⋅s.
During running, forefoot contact elevated rectus femoris activity substantially, reaching 298.5 mV⋅s, the highest recorded value for that muscle. Tibialis anterior activity remained high across all running conditions, indicating its central role in dorsiflexion and shock absorption during locomotion. Midfoot running, in particular, elicited strong activation of both tibialis anterior (702.6 mV⋅s) and biceps femoris (204.6 mV⋅s). Overall, tibialis anterior consistently showed the highest activity among all measured muscles in both walking and running conditions.
Joint Motion (IMU Sensor)
Joint range of motion (ROM) in the sagittal plane was generally greater during running than walking. Hip flexion ROM during walking ranged from approximately 33° to 41°, while during running it ranged from 28° to nearly 40°, depending on footfall pattern <
Table 3>. The highest value was observed in walking with left foot heel contact, which reached 41.1°.
Knee flexion ROM increased from approximately 56°-69° during walking to over 75°-83° in running, with the greatest ROM recorded in the right knee during forefoot running (83.1°).
Ankle dorsiflexion ROM also increased during running, with midfoot contact on the left side yielding the highest observed ROM of 71.6°, compared to values generally below 50° during walking.
In the frontal plane, hip abduction ROM varied across footfall types, ranging from 11.2° to 20.6°, with no consistent trend favoring either gait condition <
Table 4>. In the transverse plane, hip rotation ROM tended to be higher during running than walking, with values ranging from 11.0° to 25.8°.
Ankle inversion showed a particularly wide range, with most values falling between 10° and 25°, although an outlier of 359.9° was recorded during midfoot running on the left, which is likely the result of sensor error or mechanical noise <
Table 5>. Ankle eversion followed a similar trend, with the greatest ROM observed during running with midfoot contact on the left foot, reaching 63.1°. Although clear patterns emerged across gait and footfall types, no statistical analyses were conducted. As such, these differences must be interpreted as descriptive rather than statistically validated findings.
Discussion
The present findings demonstrate that distinct footfall patterns in walking and running are associated with differing biomechanical characteristics in terms of muscle activation, joint range of motion, and plantar pressure. Although no statistical analyses were conducted, descriptive comparisons suggest that forefoot contact in running results in consistently elevated activation of the tibialis anterior compared to other conditions. This pattern aligns with previous research emphasizing the role of dorsiflexor muscles in decelerating foot contact and controlling ankle kinematics during dynamic locomotion [
2,
3]. Given that the tibialis anterior is particularly engaged during the initial contact and loading phases of gait, its elevated activation under forefoot conditions likely reflects increased neuromuscular demand required to manage rapid ground contact and propulsion.
Differences in plantar pressure across conditions also reflect variations in load distribution strategies. Heel contact during walking and forefoot contact during running both showed higher peak plantar forces, suggesting a more forceful interaction with the ground surface. These results are consistent with prior work showing that impact transients tend to be greater in heel and forefoot striking than in midfoot contact, potentially increasing the risk of repetitive stress injuries in those regions [
7]. In contrast, midfoot contact produced more evenly distributed plantar pressure, which may be associated with greater gait stability and shock attenuation, factors that could be advantageous in rehabilitation settings or for individuals with compromised joint integrity [
1].
In terms of joint kinematics, ROM values were generally greater during running than walking across hip, knee, and ankle joints. The increases were most prominent in the sagittal plane, reflecting the biomechanical demands of longer stride lengths, greater ground clearance, and enhanced forward propulsion during running. In particular, ankle dorsiflexion ROM during running reached levels indicative of greater elastic loading potential, which is consistent with running biomechanics that emphasize the stretch-shortening cycle for energy efficiency [
8]. Increased motion in the transverse plane, especially in hip rotation and ankle eversion, further indicates the need for multiplanar stability during high-velocity gait.
It is important to contextualize these observations within the limitations of the study. The sample size was small and restricted to a homogenous population of female university students, which limits the generalizability of the findings. Furthermore, without inferential statistics, conclusions should remain descriptive. Future research should incorporate larger, more diverse cohorts and include kinetic and kinematic modeling to more precisely quantify differences across footfall strategies. Additionally, longterm studies examining adaptations to habitual footfall changes would clarify the implications for performance enhancement, injury prevention, and rehabilitation.
Conclusions
This study examined biomechanical differences in lower limb joint range of motion, muscle activation, and plantar pressure associated with various footfall patterns during walking and running. Descriptive data indicated that heel contact in walking and forefoot contact in running were associated with higher plantar forces. Tibialis anterior showed consistently high activation across conditions, especially during running, reflecting its role in dorsiflexion control during dynamic gait. Joint range of motion was greater in running than walking, particularly in the sagittal and transverse planes, suggesting increased mechanical demands under faster locomotor conditions.
Although the results point to clear differences across footfall types, these observations are exploratory and should be interpreted cautiously given the limited sample size and absence of statistical testing. Nevertheless, the patterns observed may inform future research on gait retraining, footwear design, and rehabilitation strategies. Continued investigation with broader participant demographics and statistical modeling will be necessary to more definitively determine how specific footfall patterns affect performance and injury risk in different populations.
Notes
Acknowledgments
This research was supported by the intramural research fund of Seoul National University of Science and Technology.
Conflicts of Interest
The author declares no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.
Table 1.
Plantar Pressure Comparison.
|
Condition |
Variable |
Total Force (N)
|
|
Left |
Right |
|
Walking (Heel) |
Max |
715 |
843 |
|
Average |
292 |
312 |
|
Walking (Midfoot) |
Max |
675 |
774 |
|
Average |
277 |
302 |
|
Running (Midfoot) |
Max |
1010 |
667 |
|
Average |
303 |
297 |
|
Running (Forefoot) |
Max |
666 |
650 |
|
Average |
293 |
289 |
Table 2.
|
Condition |
iEMG (mV·s)
|
|
Rectus Femoris |
Biceps Femoris |
Tibialis Anterior |
Gastrocnemius |
|
Walking (Heel) |
154.2 |
157.3 |
736.8 |
516.3 |
|
Walking (Midfoot) |
167.3 |
149.8 |
886.0 |
486.3 |
|
Running (Midfoot) |
298.5 |
175.8 |
678.6 |
560.5 |
|
Running (Forefoot) |
198.2 |
204.6 |
702.6 |
520.4 |
Table 3.
Hip, Knee, and Ankle Sagittal Plane Angles.
|
Joint |
Condition |
Variable |
Left |
Right |
|
Hip Flexion |
Walking (Heel) |
Average |
7.4 |
13.0 |
|
ROM |
41.1 |
36.3 |
|
Walking (Midfoot) |
Average |
7.4 |
8.5 |
|
ROM |
40.0 |
33.0 |
|
Running (Forefoot) |
Average |
19.5 |
18.2 |
|
ROM |
37.4 |
34.8 |
|
Running (Midfoot) |
Average |
19.7 |
15.7 |
|
ROM |
39.5 |
28.0 |
|
Knee Flexion |
Walking (Heel) |
Average |
25.4 |
19.3 |
|
ROM |
59.6 |
69.2 |
|
Walking (Midfoot) |
Average |
28.0 |
9.7 |
|
ROM |
63.1 |
55.7 |
|
Running (Forefoot) |
Average |
33.9 |
31.9 |
|
ROM |
75.0 |
83.1 |
|
Running (Midfoot) |
Average |
34.5 |
27.5 |
|
ROM |
79.4 |
76.7 |
|
Ankle Dorsiflexion |
Walking (Heel) |
Average |
37.2 |
-10.5 |
|
ROM |
46.8 |
21.0 |
|
Walking (Midfoot) |
Average |
62.2 |
-9.3 |
|
ROM |
48.3 |
8.3 |
|
Running (Forefoot) |
Average |
-26.4 |
-9.5 |
|
ROM |
69.2 |
33.8 |
|
Running (Midfoot) |
Average |
-104.8 |
-11.1 |
|
ROM |
71.6 |
37.4 |
Table 4.
Hip Abduction and Rotation Angles.
|
Joint |
Condition |
Variable |
Left |
Right |
|
Hip Abduction |
Walking (Heel) |
Average |
1.7 |
-7.0 |
|
ROM |
11.2 |
16.6 |
|
Walking (Midfoot) |
Average |
2.9 |
-8.8 |
|
ROM |
11.6 |
19.7 |
|
Running (Forefoot) |
Average |
-3.5 |
-6.4 |
|
ROM |
15.3 |
18.2 |
|
Running (Midfoot) |
Average |
-1.9 |
-8.6 |
|
ROM |
16.0 |
20.6 |
|
Hip Rotation |
Walking (Heel) |
Average |
-1.4 |
10.7 |
|
ROM |
12.9 |
23.8 |
|
Walking (Midfoot) |
Average |
-0.6 |
9.1 |
|
ROM |
11.0 |
19.6 |
|
Running (Forefoot) |
Average |
8.4 |
22.8 |
|
ROM |
19.5 |
19.0 |
|
Running (Midfoot) |
Average |
9.8 |
22.3 |
|
ROM |
23.0 |
25.8 |
Table 5.
Ankle Inversion and Eversion Angles.
|
Joint |
Condition |
Variable |
Left |
Right |
|
Ankle Inversion |
Walking (Heel) |
Average |
34.2 |
0.6 |
|
ROM |
21.0 |
11.5 |
|
Walking (Midfoot) |
Average |
48.5 |
-0.7 |
|
ROM |
14.4 |
10.9 |
|
Running (Forefoot) |
Average |
38.0 |
7.8 |
|
ROM |
19.3 |
25.5 |
|
Running (Midfoot) |
Average |
-97.4 |
10.4 |
|
ROM |
359.9 |
24.4 |
|
Ankle Eversion |
Walking (Heel) |
Average |
19.1 |
-0.6 |
|
ROM |
24.1 |
10.1 |
|
Walking (Midfoot) |
Average |
23.9 |
-0.1 |
|
ROM |
26.0 |
12.5 |
|
Running (Forefoot) |
Average |
-19.2 |
-1.6 |
|
ROM |
24.2 |
15.1 |
|
Running (Midfoot) |
Average |
-17.9 |
-2.7 |
|
ROM |
63.1 |
16.2 |
References
1. Kim JE. The effects of walking·running exercise and dance sports on health related physical fitness, blood lipid in obese middle-aged women. Unpublished Master’s Thesis. Chosun University; 2010.
2. Son SS. Moment of forces and power characteristics of the lower extremity during running. KJAB. 2000; 9(2): 15–41.
3. Kim RB, Choi JY, Shin JM. The influence of step length and walking speed on the angle and ROM of the lower limb joint. KJPE. 2001; 40(4): 997–1009.
4. Gim SB, Yi SY. A study on adults’ body activities learning experience using Q methodology: Focused on walking and running. J Lifelong Learn Soc. 2024; 20(2): 53–80.
5. Kim KH. KB financial publishes first Korean wellness report. Smart Today; 2024.
6. Park JH. Analysis on changes in spatial dependency and hot spots of walking practice rate using multi-year data. J Korea Academia-Industrial cooperation Society. 2021; 22(11): 315–23.
7. Whittle MW. Gait analysis: An introduction. Oxford: Butterworth-Heinemann; 1990.