The Use of Auditory Cues in Anticipatory Control of Grasping Forces

González, David; Dubrowski, Adam; Carnahan, Heather

doi:10.1123/mcj.14.2.255

Cited by 4 publications

(3 citation statements)

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“…The force with which we grasp objects is also determined by their visually perceived size, shape, and weight [7,8]. Visual as well as auditory cues may help anticipate object dynamics relating to the grip strength required for a given task [14,30]. Complex crosstalk between current sensor input and memory representations contributes to the scaling of grip forces in all motor tasks [13], where control processes may kick in to compensate for anthropometric limitations.…”

Section: Discussionmentioning

confidence: 99%

“…Visually guided learning and memory for motor planning are important to the fine-tuning of grip forces [8,[10][11][12][13]. Auditory cues [14] have been reported to significantly influence the anticipatory control of deployed grip strength. Handedness, i.e., the privileged use of the left or the right hand, the so-called dominant hand, in motor behaviour is also determined by cognitive development, and it has been shown that grip strength may vary significantly between dominant and nondominant hands [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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Sensory Factors Influence Dynamic and Static Bi-Manual Finger Grip Strength in a Real-World Task Context

Dresp-Langley,

Liu,

de Mathelin

2024

Applied Sciences

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Individual grip strength provides a functional window into somatosensory processes and their effects on motor behaviour in healthy, impaired, and ageing individuals. Variations in grip strength during hand–tool interaction are therefore exploited in a variety of experimental tasks to study the effects of pathology or ageing-related changes on sensory, motor, and cognitive ability. However, many different factors may influence individual grip strength systematically in a given task context without being explicitly identified and controlled for. Grip strength may vary as a function of the location of the measurement device (sensor) on the fingers/hand, the shape, weight and size of object(s) being gripped, the type of grip investigated (static versus dynamic grip), and the hand (dominant versus non-dominant) used for gripping. This study tests for additional factors such as sight, sound, and interactions with/between any of the other factors in a complex task context. A wearable biosensor system, designed for measuring grip strength variations in operators gripping cylindrical objects bi-manually, was used. Grip force signals were recorded from all sensors of the wearable (glove) system, including three directly task-relevant sensors for bi-manually gripping cylindrical objects with the dominant and non-dominant hands. Five young male participants were tested for the effects of sound, movement, and sight on grip strength. The participants had to pick up two cylindrical objects of identical size and weight, then hold them still (static grip) or move them upwards and downwards (dynamic grip) for ten seconds while listening to soft or hard music, with their eyes open or blindfolded. Significant effects of sensor location, hand, movement, sight, and sound on bi-manual grip strength were found. Stronger grip force signals were produced by task-relevant sensors in the dominant hand when moving the cylindrical handles (dynamic grip) in comparison with the static grip condition, depending, as expected, on whether grip signals were measured from the dominant or the non-dominant hand. Significantly stronger grip strength was produced blindfolded (sight condition), and grips were significantly stronger with exposure to harder music (sound factor). It is concluded that grip strength is significantly influenced by sensory factors and interactions between the other factors tested for, pointing towards the need for identifying and systematically controlling such potential sources of variation in complex study task contexts.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensory Factors Influence Dynamic and Static Bi-Manual Finger Grip Strength in a Real-World Task Context

Dresp-Langley,

Liu,

de Mathelin

2024

Applied Sciences

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“…This reveals a strong functional link between visual and somatosensory cognition in sighted individuals, who have learnt to rely on visual input for motor planning and control. Sounds can also be relevant to deploying grip forces necessary to lift masses, as evidenced by scaling of grip rates as a function of mass during auditory cueing, for example (Gonzalez et al, 2010). Sensations of disgust triggered by stimuli in the olfactory environment modulate neural activity in the somatosensory brain, and may prevent us from picking up objects, or make us grasp them with lesser force (Croy et al, 2016;Yang and Wang, 2020).…”

Section: Synergy Between Sensory Processing and Cognitive Controlmentioning

confidence: 99%

Grip force as a functional window to somatosensory cognition

Dresp-Langley

2022

Front. Psychol.

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Analysis of grip force signals tailored to hand and finger movement evolution and changes in grip force control during task execution provide unprecedented functional insight into somatosensory cognition. Somatosensory cognition is the basis of our ability to act upon and to transform the physical world around us, to recognize objects on the basis of touch alone, and to grasp them with the right amount of force for lifting and manipulating them. Recent technology has permitted the wireless monitoring of grip force signals recorded from biosensors in the palm of the human hand to track and trace human grip forces deployed in cognitive tasks executed under conditions of variable sensory (visual, auditory) input. Non-invasive multi-finger grip force sensor technology can be exploited to explore functional interactions between somatosensory brain mechanisms and motor control, in particular during learning a cognitive task where the planning and strategic execution of hand movements is essential. Sensorial and cognitive processes underlying manual skills and/or hand-specific (dominant versus non-dominant hand) behaviors can be studied in a variety of contexts by probing selected measurement loci in the fingers and palm of the human hand. Thousands of sensor data recorded from multiple spatial locations can be approached statistically to breathe functional sense into the forces measured under specific task constraints. Grip force patterns in individual performance profiling may reveal the evolution of grip force control as a direct result of cognitive changes during task learning. Grip forces can be functionally mapped to from-global-to-local coding principles in brain networks governing somatosensory processes for motor control in cognitive tasks leading to a specific task expertise or skill. Under the light of a comprehensive overview of recent discoveries into the functional significance of human grip force variations, perspectives for future studies in cognition, in particular the cognitive control of strategic and task relevant hand movements in complex real-world precision task, are pointed out.

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